Pub Date : 2016-10-01DOI: 10.1109/CISP-BMEI.2016.7852785
Liying Zhou, Jingsong Yang, Juan Wang, Shuangyan He, Zhiguo He, Antony K. Liu, M. Hsu
In this paper, More than 1000 satellite images including Terra/Aqua MODIS, Sentinel-1A SAR images from 2013 to 2015 were analyzed to obtain spatio-temporal distribution of internal waves in the Andaman Sea. The statistical results demonstrate that the internal wave have been observed mostly in four areas by the remote sensing: northern Sumatra Island, western Malay Peninsula, northeast of the Nicole Islands and eastern Andaman Islands in Andaman Sea. Internal waves in the middle and the gradually changing bathymetric gradients areas of the Andaman Sea have been unobserved by the remote sensing. Internal waves can be observed in Andaman Sea all through the year, most in hot season (February to April), next rainy season( May to October). And a minimum number of internal waves are observed in rainy(June to August), however, this may be caused by the small amount of clear MODIS images in rainy in the Andaman Sea, it need to further proof by using more remote sensing images.
{"title":"Spatio-temporal distribution of internal waves in the Andaman Sea based on satellite remote sensing","authors":"Liying Zhou, Jingsong Yang, Juan Wang, Shuangyan He, Zhiguo He, Antony K. Liu, M. Hsu","doi":"10.1109/CISP-BMEI.2016.7852785","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852785","url":null,"abstract":"In this paper, More than 1000 satellite images including Terra/Aqua MODIS, Sentinel-1A SAR images from 2013 to 2015 were analyzed to obtain spatio-temporal distribution of internal waves in the Andaman Sea. The statistical results demonstrate that the internal wave have been observed mostly in four areas by the remote sensing: northern Sumatra Island, western Malay Peninsula, northeast of the Nicole Islands and eastern Andaman Islands in Andaman Sea. Internal waves in the middle and the gradually changing bathymetric gradients areas of the Andaman Sea have been unobserved by the remote sensing. Internal waves can be observed in Andaman Sea all through the year, most in hot season (February to April), next rainy season( May to October). And a minimum number of internal waves are observed in rainy(June to August), however, this may be caused by the small amount of clear MODIS images in rainy in the Andaman Sea, it need to further proof by using more remote sensing images.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124451551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/CISP-BMEI.2016.7852825
Zhuofu Deng, Zhiliang Zhu, Yenwei Chen
With the development of computing capability and display size in computing hardware, mobile terminals like iPhone or iPad have been more and more accepted as a tool to help radiologists to examine medical images of patients in order to give more accurate diagnostic conclusion through server. The radiologists can observe the images by interacting them with different hand gestures to translate, rotate and zoom in or out the objects in the medical images of the mobile terminals. However, because of the requirements of remote medical, we need a system that should have one kind of function-collaboration, which means that when different radiologists located at different places hold a remote teleconference to discuss the same medical images for difficult miscellaneous disease, one expert wishes that when he changes the position of object in the images the other experts will see the changes at once so that they can keep accordance all the time to talk over the focus with voice communication and other auxiliary tools. This paper developed a remote and collaborative medical image visualization system where medical experts can work collaboratively with each other. In the proposed application, the server system can file the data of patients like CT, MR images and other information. Meanwhile, the terminal clients can download the medical 2D data and rendering them on itself including 3D image reconstruction, moreover the server can also support teleconference mode that the experts in different places discuss one patient's illness with this system like in the same location of conference. Finally, the performance issues regarding the remote 3D visualization of the medical images platform over the wireless network of the proposed system were also discussed. The result demonstrated that the proposed remote and collaborative medical image visualization computing platform could provide a perfect interactive experience in the WLAN and 4G network.
{"title":"Remote and collaborative medical image visualization computing platform","authors":"Zhuofu Deng, Zhiliang Zhu, Yenwei Chen","doi":"10.1109/CISP-BMEI.2016.7852825","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852825","url":null,"abstract":"With the development of computing capability and display size in computing hardware, mobile terminals like iPhone or iPad have been more and more accepted as a tool to help radiologists to examine medical images of patients in order to give more accurate diagnostic conclusion through server. The radiologists can observe the images by interacting them with different hand gestures to translate, rotate and zoom in or out the objects in the medical images of the mobile terminals. However, because of the requirements of remote medical, we need a system that should have one kind of function-collaboration, which means that when different radiologists located at different places hold a remote teleconference to discuss the same medical images for difficult miscellaneous disease, one expert wishes that when he changes the position of object in the images the other experts will see the changes at once so that they can keep accordance all the time to talk over the focus with voice communication and other auxiliary tools. This paper developed a remote and collaborative medical image visualization system where medical experts can work collaboratively with each other. In the proposed application, the server system can file the data of patients like CT, MR images and other information. Meanwhile, the terminal clients can download the medical 2D data and rendering them on itself including 3D image reconstruction, moreover the server can also support teleconference mode that the experts in different places discuss one patient's illness with this system like in the same location of conference. Finally, the performance issues regarding the remote 3D visualization of the medical images platform over the wireless network of the proposed system were also discussed. The result demonstrated that the proposed remote and collaborative medical image visualization computing platform could provide a perfect interactive experience in the WLAN and 4G network.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128024096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/CISP-BMEI.2016.7852802
Sheng Miao, Kunrong Hu, Hao Gao, Xiaorui Wang
Since ancient times, forest fires are an important threat to human beings, with the development of satellite technology, forest fires can be constantly monitored by satellite. But face to number of satellite pictures, its hard to detect fire location, especially the fire initial stage. An sub-region detection method has been proposed, this method supply fast partition domain detection method using information entropy, fast detect each sub-region whether there is smoke feature or not. Due to the satellite image has large region, our method first segment the image and then detect the smoke feature in each sub-region using information entropy. More than 50 pictures has been used to test this methods, shows this algorithm the effectiveness of small range fire detection.
{"title":"Small fire smoke region location and recognition in satellite image","authors":"Sheng Miao, Kunrong Hu, Hao Gao, Xiaorui Wang","doi":"10.1109/CISP-BMEI.2016.7852802","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852802","url":null,"abstract":"Since ancient times, forest fires are an important threat to human beings, with the development of satellite technology, forest fires can be constantly monitored by satellite. But face to number of satellite pictures, its hard to detect fire location, especially the fire initial stage. An sub-region detection method has been proposed, this method supply fast partition domain detection method using information entropy, fast detect each sub-region whether there is smoke feature or not. Due to the satellite image has large region, our method first segment the image and then detect the smoke feature in each sub-region using information entropy. More than 50 pictures has been used to test this methods, shows this algorithm the effectiveness of small range fire detection.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128099399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/CISP-BMEI.2016.7852956
Huiwen Luo, W. Dou, Yu Pan, Yueheng Wang, Yujia Mu, Yudu Li, Xiaojie Zhang, Quan Xu, Shuyu Yan, Yuanyuan Tu
Building brain networks based on functional Magnetic Resonance Imaging (fMRI) signal is one of the efficient methods to study functional connectivity of human brain. Various methods of constructing brain network will lead to different results. It is wondered which method is reliable. Therefore, it is necessary to set up a synthetical framework of brain network analysis to study the functional connectivity. A joint analysis method of multi-level functional brain networks is proposed in this paper. These networks are constructed based on different correlation matrixes of fMRI signal between voxels and between anatomical areas (regions) of brain. They are called whole brain network of voxel-based and region-based, and local network of voxel-based inside brain regions. The joint analysis implements feature combination of global and local network attributes to measure or evaluate the brain region characteristics towards reducing uncertainty. The resting-state fMRI data of 37 subjects (22 normal subjects and 15 patients with spinal cord injury (SCI)) have been used to test the proposed method. Three-level functional connectivity networks are jointly analyzed to combine the two-type significant features, the significant differences between normal and patient, and the significant correlations between network features and clinic function scores of patient. The results of the features combination are validated by the specific Brodmann area (BA) regions characterized by the similar and the complementary features, and most of them belong to the dorsolateral prefrontal cortex (DLPFC) and correspond with SCI disease. Compared with network analysis of the commonly used voxel-based whole brain network, the proposed joint analysis method can provide more central, more robust and more reliable evidences. Overall, the proposed method takes advantages of different functional networks and shows the complete discovery to us by the consistency and mutual complementation of these kinds of networks. It would be a new network analysis method of human brain.
基于功能磁共振成像(fMRI)信号构建脑网络是研究人脑功能连通性的有效方法之一。不同的脑网络构建方法会产生不同的结果。人们不知道哪种方法是可靠的。因此，有必要建立脑网络分析的综合框架来研究功能连通性。提出了一种多层次脑功能网络的联合分析方法。这些网络是基于体素之间和脑解剖区域之间的fMRI信号的不同相关矩阵构建的。它们分别是基于体素和区域的全脑网络和基于体素的脑内局部网络。联合分析实现了全局和局部网络属性的特征组合，以测量或评估大脑区域特征，减少不确定性。37名受试者(22名正常受试者和15名脊髓损伤患者)静息状态fMRI数据被用来验证所提出的方法。联合分析三级功能连接网络，结合两类显著特征、正常人与患者的显著差异、网络特征与患者临床功能评分的显著相关性。特征组合的结果得到了以相似和互补特征为特征的特定Brodmann area (BA)区域的验证，这些特征大部分属于背外侧前额叶皮层(DLPFC)，与SCI疾病相对应。与常用的基于体素的全脑网络网络分析相比，本文提出的联合分析方法能够提供更集中、更稳健、更可靠的证据。总的来说，该方法利用了不同功能网络的优势，并通过这些网络的一致性和互补性向我们展示了完整的发现。这将是一种新的人脑网络分析方法。
{"title":"Joint analysis of multi-level functional brain networks","authors":"Huiwen Luo, W. Dou, Yu Pan, Yueheng Wang, Yujia Mu, Yudu Li, Xiaojie Zhang, Quan Xu, Shuyu Yan, Yuanyuan Tu","doi":"10.1109/CISP-BMEI.2016.7852956","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852956","url":null,"abstract":"Building brain networks based on functional Magnetic Resonance Imaging (fMRI) signal is one of the efficient methods to study functional connectivity of human brain. Various methods of constructing brain network will lead to different results. It is wondered which method is reliable. Therefore, it is necessary to set up a synthetical framework of brain network analysis to study the functional connectivity. A joint analysis method of multi-level functional brain networks is proposed in this paper. These networks are constructed based on different correlation matrixes of fMRI signal between voxels and between anatomical areas (regions) of brain. They are called whole brain network of voxel-based and region-based, and local network of voxel-based inside brain regions. The joint analysis implements feature combination of global and local network attributes to measure or evaluate the brain region characteristics towards reducing uncertainty. The resting-state fMRI data of 37 subjects (22 normal subjects and 15 patients with spinal cord injury (SCI)) have been used to test the proposed method. Three-level functional connectivity networks are jointly analyzed to combine the two-type significant features, the significant differences between normal and patient, and the significant correlations between network features and clinic function scores of patient. The results of the features combination are validated by the specific Brodmann area (BA) regions characterized by the similar and the complementary features, and most of them belong to the dorsolateral prefrontal cortex (DLPFC) and correspond with SCI disease. Compared with network analysis of the commonly used voxel-based whole brain network, the proposed joint analysis method can provide more central, more robust and more reliable evidences. Overall, the proposed method takes advantages of different functional networks and shows the complete discovery to us by the consistency and mutual complementation of these kinds of networks. It would be a new network analysis method of human brain.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125724904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pulse diagnosis is an important part of the theoretical system of Traditional Chinese Medicine. In this paper we propose a new and an efficient framework to recognize pulse signal in nonlinear angle. Firstly the EEMD (ensemble empirical mode decomposition) method is used to filter out baseline drifting noise, and the result is proved to be effective. Then the MFDFA(multi-fractal detrended fluctuation analysis) method is used to get Hurst index, Renyi index and multi-fractal spectrum. Hurst index is related with the long-range correlations, Renyi index is related with the multi-fractal characteristics, and multi-fractal spectrum contains Δa and Δƒ characteristics. Finally, four kinds of pulse signals are recognized by PSO-SVM after extract multi-fractal spectrum feature. Experiment results demonstrate the effectiveness of our proposed method.
{"title":"Wrist pulse recognition based on multi-fractal spectrum","authors":"N. Zhang, Guangqin Hu, Xinfeng Zhang, Wenming Yu, Zheng Yang, Mengru Guo","doi":"10.1109/CISP-BMEI.2016.7852860","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852860","url":null,"abstract":"Pulse diagnosis is an important part of the theoretical system of Traditional Chinese Medicine. In this paper we propose a new and an efficient framework to recognize pulse signal in nonlinear angle. Firstly the EEMD (ensemble empirical mode decomposition) method is used to filter out baseline drifting noise, and the result is proved to be effective. Then the MFDFA(multi-fractal detrended fluctuation analysis) method is used to get Hurst index, Renyi index and multi-fractal spectrum. Hurst index is related with the long-range correlations, Renyi index is related with the multi-fractal characteristics, and multi-fractal spectrum contains Δa and Δƒ characteristics. Finally, four kinds of pulse signals are recognized by PSO-SVM after extract multi-fractal spectrum feature. Experiment results demonstrate the effectiveness of our proposed method.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122276293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/CISP-BMEI.2016.7852870
Yaoyao Xie, M. Yu, J. Fu, Dong Chen, Chengyun Yang
With the demand for road transport of hazmat in the past few years, accidents occur frequently during the dangerous goods transportation and road transportation safety issues become increasingly prominent. Therefore, it is urgent to make full use of technical measures of information collection and transmission to monitor the state of dangerous goods. A real-time system is put forward in this paper, which can monitor the state of hazmat during the transportation by using Global Positioning System (GPS)/BeiDou Navigation Satellite System (BDS) technology and sensor acquisition modules, which is based on RS485 bus technology. Combine the above technical schemes with General Packet Radio Service (GPRS) radio transmission, Radio Frequency Identification (RFID) and Geographic Information System (GIS) technology, the system can monitor the position information and crucial state information of the dangerous goods during the transportation. The system can fundamentally solve the safety issues of hazmat transport, and it is helpful to achieve scientific management in further.
{"title":"A hazmat transportation monitoring system based on Global Positioning System / Beidou Navigation Satellite System and RS485 bus","authors":"Yaoyao Xie, M. Yu, J. Fu, Dong Chen, Chengyun Yang","doi":"10.1109/CISP-BMEI.2016.7852870","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852870","url":null,"abstract":"With the demand for road transport of hazmat in the past few years, accidents occur frequently during the dangerous goods transportation and road transportation safety issues become increasingly prominent. Therefore, it is urgent to make full use of technical measures of information collection and transmission to monitor the state of dangerous goods. A real-time system is put forward in this paper, which can monitor the state of hazmat during the transportation by using Global Positioning System (GPS)/BeiDou Navigation Satellite System (BDS) technology and sensor acquisition modules, which is based on RS485 bus technology. Combine the above technical schemes with General Packet Radio Service (GPRS) radio transmission, Radio Frequency Identification (RFID) and Geographic Information System (GIS) technology, the system can monitor the position information and crucial state information of the dangerous goods during the transportation. The system can fundamentally solve the safety issues of hazmat transport, and it is helpful to achieve scientific management in further.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127947728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/CISP-BMEI.2016.7852705
Guangyu Xu, Yu'e Lin
This paper presents a two-step restoration algorithm for impulse noise detection and removal. In the detection step, the pixel which is most likely corrupted by noise is detected according to its gray values. In the removal step, the proposed algorithm adaptively alters the filtering window size depending on the noise density. For a noisy pixel, if there exist one or more noise-free pixels in its window, the spatial correlation-based weighted mean filter will be applied to it by using only noise-free pixels. Otherwise, we use the median filter to correct the detection errors and remove noise. Naturally, the noise-free pixels are retained. Experimental results show that compared with the other filters, our algorithm can provide better performances in both quantitatively and visually.
{"title":"An efficient restoration algorithm for images corrupted with salt and pepper noise","authors":"Guangyu Xu, Yu'e Lin","doi":"10.1109/CISP-BMEI.2016.7852705","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852705","url":null,"abstract":"This paper presents a two-step restoration algorithm for impulse noise detection and removal. In the detection step, the pixel which is most likely corrupted by noise is detected according to its gray values. In the removal step, the proposed algorithm adaptively alters the filtering window size depending on the noise density. For a noisy pixel, if there exist one or more noise-free pixels in its window, the spatial correlation-based weighted mean filter will be applied to it by using only noise-free pixels. Otherwise, we use the median filter to correct the detection errors and remove noise. Naturally, the noise-free pixels are retained. Experimental results show that compared with the other filters, our algorithm can provide better performances in both quantitatively and visually.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115961035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/CISP-BMEI.2016.7853036
Xiaoming Hu, Chuang Ma, Jian Wang, Huajie Xu, Wenan Tan
Undeniability is an essential security property of the traditional digital signature. Strong designated verifier signature(DSVS) is a special digital signature in where the validity of a signature can only be checked by the designated verifier. However, most strong DSVS schemes do not have the undeniability property which leads to dispute between a designated verifier and a signer. In this study, we propose a new strong DSVS scheme. The proposed strong designated verifier scheme involves three participators: a designated verifier, a signer and a judger. When a dispute happens, the judger can tell the real signer by simple computation. So, our scheme proposed in this study holds the undeniability property. What's more, the security and efficiency analysis of this paper's scheme are been presented. By comparing the proposed scheme and other similar strong DSVS schemes, it shows that our proposed strong designated verifier scheme has good performance on the undenability and the cost. We also showed the detail comparison. Therefore, the proposed scheme can be applied in many environments such as electronic-voting and business, e-healthcare and etc.
{"title":"An undeniable strong DSVS scheme with no bilinear pairings","authors":"Xiaoming Hu, Chuang Ma, Jian Wang, Huajie Xu, Wenan Tan","doi":"10.1109/CISP-BMEI.2016.7853036","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7853036","url":null,"abstract":"Undeniability is an essential security property of the traditional digital signature. Strong designated verifier signature(DSVS) is a special digital signature in where the validity of a signature can only be checked by the designated verifier. However, most strong DSVS schemes do not have the undeniability property which leads to dispute between a designated verifier and a signer. In this study, we propose a new strong DSVS scheme. The proposed strong designated verifier scheme involves three participators: a designated verifier, a signer and a judger. When a dispute happens, the judger can tell the real signer by simple computation. So, our scheme proposed in this study holds the undeniability property. What's more, the security and efficiency analysis of this paper's scheme are been presented. By comparing the proposed scheme and other similar strong DSVS schemes, it shows that our proposed strong designated verifier scheme has good performance on the undenability and the cost. We also showed the detail comparison. Therefore, the proposed scheme can be applied in many environments such as electronic-voting and business, e-healthcare and etc.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134096616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/CISP-BMEI.2016.7852782
Shui Yu, Jingsong Yang, Shuangyan He, L. Ren, Zhiguo He
As one of the most powerful air-sea interactions in the weather system, a typhoon usually accompanies with a wide range of heavy rainfall. Due to the influence of rainfall on the radar signal, the inversion precision of sea surface wind field from space-borne radar declines. In this paper, based on C band scatterometer rain effect model and Synthetic Aperture Radar (SAR) rainfall backscattering model, rain-induced attenuation, raindrop volumetric scattering and rough sea surface scattering are calculated. Performance of these two models are further demonstrated by comparing RADARSAT-2 data with synchronous National Centers for Environmental Prediction (NCEP) reanalysis data and Tropical Rainfall Measuring Mission satellite (TRMM) precipitation radar (PR) rainfall data, and results prove that they both can improve the rain-induced inaccurate wind field retrieval.
{"title":"Effect of precipitation on the wind retrieval from synthetic aperture radar","authors":"Shui Yu, Jingsong Yang, Shuangyan He, L. Ren, Zhiguo He","doi":"10.1109/CISP-BMEI.2016.7852782","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852782","url":null,"abstract":"As one of the most powerful air-sea interactions in the weather system, a typhoon usually accompanies with a wide range of heavy rainfall. Due to the influence of rainfall on the radar signal, the inversion precision of sea surface wind field from space-borne radar declines. In this paper, based on C band scatterometer rain effect model and Synthetic Aperture Radar (SAR) rainfall backscattering model, rain-induced attenuation, raindrop volumetric scattering and rough sea surface scattering are calculated. Performance of these two models are further demonstrated by comparing RADARSAT-2 data with synchronous National Centers for Environmental Prediction (NCEP) reanalysis data and Tropical Rainfall Measuring Mission satellite (TRMM) precipitation radar (PR) rainfall data, and results prove that they both can improve the rain-induced inaccurate wind field retrieval.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132976601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/CISP-BMEI.2016.7852731
Yanxia Sun, Jinke Wang
In this paper, a fully automatic method was proposed for lung segmentation with juxta-pleural nodules from CT. The approach consists of three phases: skin boundary detection, rough segmentation of lung contour, and pulmonary parenchyma refinement. Firstly, chest boundary is extracted through image aligning, morphology operation and connective region analysis. Secondly, diagonal-based border tracing is implemented for lung contour segmentation, with maximum cost path algorithm used for separating the left and right lungs. Finally, by arc-based border smoothing and concave-based border correction, the refined pulmonary parenchyma is obtained. The proposed scheme is evaluated on 20 volumes of chest scans, with volume difference (VD) 11.15 ± 69.63 cm3, volume overlap error (VOE) 3.5057 ± 1.3719%, average surface distance (ASD) 0.7917 ± 0.2741 mm, root mean square distance (RMSD) 1.6957 ± 0.6568 mm, maximum symmetric absolute surface distance (MSD) 21.3430 ± 8.1743 mm, and average time-cost 2 second per image. The preliminary results on accuracy and complexity prove that our scheme is a promising tool for lung segmentation with juxta-pleural nodules.
{"title":"Automatic method for lung segmentation with juxta-pleural nodules from thoracic CT based on border separation and correction","authors":"Yanxia Sun, Jinke Wang","doi":"10.1109/CISP-BMEI.2016.7852731","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2016.7852731","url":null,"abstract":"In this paper, a fully automatic method was proposed for lung segmentation with juxta-pleural nodules from CT. The approach consists of three phases: skin boundary detection, rough segmentation of lung contour, and pulmonary parenchyma refinement. Firstly, chest boundary is extracted through image aligning, morphology operation and connective region analysis. Secondly, diagonal-based border tracing is implemented for lung contour segmentation, with maximum cost path algorithm used for separating the left and right lungs. Finally, by arc-based border smoothing and concave-based border correction, the refined pulmonary parenchyma is obtained. The proposed scheme is evaluated on 20 volumes of chest scans, with volume difference (VD) 11.15 ± 69.63 cm3, volume overlap error (VOE) 3.5057 ± 1.3719%, average surface distance (ASD) 0.7917 ± 0.2741 mm, root mean square distance (RMSD) 1.6957 ± 0.6568 mm, maximum symmetric absolute surface distance (MSD) 21.3430 ± 8.1743 mm, and average time-cost 2 second per image. The preliminary results on accuracy and complexity prove that our scheme is a promising tool for lung segmentation with juxta-pleural nodules.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130987700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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