Pub Date : 2012-10-01DOI: 10.1109/IPTA.2012.6469523
Najla Megherbi Bouallagu, T. Breckon, G. Flitton, A. Mouton
In this paper, we describe a Threat Image Projection (TIP) method designed for 3D Computed Tomography (CT) screening systems. The novel methodology automatically determines a valid 3D location in the passenger 3D CT baggage image into which a fictional threat 3D image can be inserted without violating the bag content. According to the scan orientation, the passenger bag content and the material of the inserted threat appropriate CT artefacts are generated using a Radon transform in order to make the insertion realistic. Densely cluttered 3D CT baggage images are used to validate our method. Experimental results confirm that our method is able to reliably insert threat items in challenging 3D images without providing any perceptible visual cue to human screeners.
{"title":"Fully automatic 3D Threat Image Projection: Application to densely cluttered 3D Computed Tomography baggage images","authors":"Najla Megherbi Bouallagu, T. Breckon, G. Flitton, A. Mouton","doi":"10.1109/IPTA.2012.6469523","DOIUrl":"https://doi.org/10.1109/IPTA.2012.6469523","url":null,"abstract":"In this paper, we describe a Threat Image Projection (TIP) method designed for 3D Computed Tomography (CT) screening systems. The novel methodology automatically determines a valid 3D location in the passenger 3D CT baggage image into which a fictional threat 3D image can be inserted without violating the bag content. According to the scan orientation, the passenger bag content and the material of the inserted threat appropriate CT artefacts are generated using a Radon transform in order to make the insertion realistic. Densely cluttered 3D CT baggage images are used to validate our method. Experimental results confirm that our method is able to reliably insert threat items in challenging 3D images without providing any perceptible visual cue to human screeners.","PeriodicalId":267290,"journal":{"name":"2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127881835","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 : 2012-10-01DOI: 10.1109/IPTA.2012.6469539
G. Trebuchet, Jean-Baptiste Fasquel, C. Cavaro-Ménard, Serge Willoteaux
Phase-Contrast (PC) velocimetry MRI is a useful modality to explore cardiovascular pathologies, but requires the automatic segmentation of vessels. Most existing segmentation approaches focus on the exploitation of anatomical information to guide algorithms, such as widely used active contours we consider in this paper, although acquisitions simultaneously provide functional information. Due to noisy regions surrounding vessels, it is difficult to integrate this information as a complementary guiding force for attracting contours towards vessel boundaries. As we illustrate, the recently proposed phase quality map is interesting but appears not appropriately formulated to build useful attraction forces. In this paper, a refinement is presented to overcome this issue, together with preliminary experimental results. We detail and illustrate how this refinement operates on phase information, and how the coupling of both anatomical and functional information can improve the efficiency of active contours, compared to the only use of anatomical information.
{"title":"Coupling anatomical and functional information for the computer-aided delineation of Phase-Contrast MRI images using active contours","authors":"G. Trebuchet, Jean-Baptiste Fasquel, C. Cavaro-Ménard, Serge Willoteaux","doi":"10.1109/IPTA.2012.6469539","DOIUrl":"https://doi.org/10.1109/IPTA.2012.6469539","url":null,"abstract":"Phase-Contrast (PC) velocimetry MRI is a useful modality to explore cardiovascular pathologies, but requires the automatic segmentation of vessels. Most existing segmentation approaches focus on the exploitation of anatomical information to guide algorithms, such as widely used active contours we consider in this paper, although acquisitions simultaneously provide functional information. Due to noisy regions surrounding vessels, it is difficult to integrate this information as a complementary guiding force for attracting contours towards vessel boundaries. As we illustrate, the recently proposed phase quality map is interesting but appears not appropriately formulated to build useful attraction forces. In this paper, a refinement is presented to overcome this issue, together with preliminary experimental results. We detail and illustrate how this refinement operates on phase information, and how the coupling of both anatomical and functional information can improve the efficiency of active contours, compared to the only use of anatomical information.","PeriodicalId":267290,"journal":{"name":"2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126680176","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 : 2012-10-01DOI: 10.1109/IPTA.2012.6469530
Mohamed Aymen Charrada, N. Amara
In this paper, we give an overview on approaches for nets extraction from printed documents. We present also our contribution to this area operating on historical Arab periodicals. The developed method is based on Gabor filters exploration followed by post-processing steps. It allows the extraction of different nets types such as slightly erased lines or lines with inclinations and curvatures. The various tests and experiments were performed on images database obtained from historical documents with complex structure, collected from various newspapers coming from the Tunisian National Library archives. The obtained results show many interesting perspectives.
{"title":"Texture approach for nets extraction application to old Arab newspapers images structuring","authors":"Mohamed Aymen Charrada, N. Amara","doi":"10.1109/IPTA.2012.6469530","DOIUrl":"https://doi.org/10.1109/IPTA.2012.6469530","url":null,"abstract":"In this paper, we give an overview on approaches for nets extraction from printed documents. We present also our contribution to this area operating on historical Arab periodicals. The developed method is based on Gabor filters exploration followed by post-processing steps. It allows the extraction of different nets types such as slightly erased lines or lines with inclinations and curvatures. The various tests and experiments were performed on images database obtained from historical documents with complex structure, collected from various newspapers coming from the Tunisian National Library archives. The obtained results show many interesting perspectives.","PeriodicalId":267290,"journal":{"name":"2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126084278","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 : 2012-10-01DOI: 10.1109/IPTA.2012.6469528
K. Harrar, L. Hamami, Sonia Akkoul, E. Lespessailles, R. Jennane
The objective of this paper is to investigate the effectiveness of a Multilayer Perceptron (MLP) to discriminate subjects with and without osteoporosis using a set of five parameters characterizing the quality of the bone structure. These parameters include Age, Bone mineral content (BMC), Bone mineral density (BMD), fractal Hurst exponent (Hmean) and coocurrence texture feature (CoEn). The purpose of the study is to detect the potential usefulness of the combination of different features to increase the classification rate of 2 populations composed of osteporotic patients and control subjects. k-fold Cross Validation (CV) was used in order to assess the accuracy and reliability of the neural network validation. Compared to other methods MLP-based analysis provides an accurate and reliable platform for osteoporosis prediction. Moreover, the results show that the combination of the five features provides better performance in terms of discrimination of the subjects.
本文的目的是研究多层感知器(MLP)使用表征骨结构质量的一组五个参数来区分患有和没有骨质疏松症的受试者的有效性。这些参数包括年龄、Bone mineral content (BMC)、Bone mineral density (BMD)、分形Hurst指数(Hmean)和共生纹理特征(CoEn)。本研究的目的是检测不同特征的组合对提高骨质疏松症患者和对照组组成的2个人群的分类率的潜在有用性。使用k-fold交叉验证(CV)来评估神经网络验证的准确性和可靠性。与其他方法相比，基于mlp的分析为骨质疏松症的预测提供了准确可靠的平台。此外，结果表明，五种特征的组合在识别主体方面具有更好的性能。
{"title":"Osteoporosis assessment using Multilayer Perceptron neural networks","authors":"K. Harrar, L. Hamami, Sonia Akkoul, E. Lespessailles, R. Jennane","doi":"10.1109/IPTA.2012.6469528","DOIUrl":"https://doi.org/10.1109/IPTA.2012.6469528","url":null,"abstract":"The objective of this paper is to investigate the effectiveness of a Multilayer Perceptron (MLP) to discriminate subjects with and without osteoporosis using a set of five parameters characterizing the quality of the bone structure. These parameters include Age, Bone mineral content (BMC), Bone mineral density (BMD), fractal Hurst exponent (Hmean) and coocurrence texture feature (CoEn). The purpose of the study is to detect the potential usefulness of the combination of different features to increase the classification rate of 2 populations composed of osteporotic patients and control subjects. k-fold Cross Validation (CV) was used in order to assess the accuracy and reliability of the neural network validation. Compared to other methods MLP-based analysis provides an accurate and reliable platform for osteoporosis prediction. Moreover, the results show that the combination of the five features provides better performance in terms of discrimination of the subjects.","PeriodicalId":267290,"journal":{"name":"2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116891931","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 : 1900-01-01DOI: 10.1109/IPTA.2012.6469548
M. Hossny, S. Nahavandi
Multisource image fusion is usually achieved by repeatedly fusing source images in pairs. However, there is no guarantee on the delivered quality considering the amount of information to be squeezed into the same spatial dimension. This paper presents a fusion capacity measure and examines the limits at which fusing more images will not add further information. The fusion capacity index employs Mutual Information (MI) to measure how far the histogram of the examined image is from a uniformly distributed histogram of a saturated image.
{"title":"Measuring the capacity of image fusion","authors":"M. Hossny, S. Nahavandi","doi":"10.1109/IPTA.2012.6469548","DOIUrl":"https://doi.org/10.1109/IPTA.2012.6469548","url":null,"abstract":"Multisource image fusion is usually achieved by repeatedly fusing source images in pairs. However, there is no guarantee on the delivered quality considering the amount of information to be squeezed into the same spatial dimension. This paper presents a fusion capacity measure and examines the limits at which fusing more images will not add further information. The fusion capacity index employs Mutual Information (MI) to measure how far the histogram of the examined image is from a uniformly distributed histogram of a saturated image.","PeriodicalId":267290,"journal":{"name":"2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116690752","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：