Pub Date : 2014-12-18DOI: 10.1109/ICCAS.2014.6987903
C. Kang, Ji Hyun Park, I. Jeung, Chan Gook Park
In this paper, robust attitude determination based on the indirect extended Kalman filter is proposed. For the nano-satellite, there are only two vectors of magnetic vector and sun vector for vector measurement without redundant sensors. Accordingly, the three-axis attitude determination using conventional algorithm is impossible when one of the vectors is not available. The proposed attitude determination method uses propagation based on satellite attitude dynamics. The gyro measurements are used for a measurement, and angular rates are estimated by measurements and control inputs. Thus the attitude propagation shows much smaller error than conventional attitude update in the simulation results.
{"title":"Development of a robust attitude determination system for a nano-satellite","authors":"C. Kang, Ji Hyun Park, I. Jeung, Chan Gook Park","doi":"10.1109/ICCAS.2014.6987903","DOIUrl":"https://doi.org/10.1109/ICCAS.2014.6987903","url":null,"abstract":"In this paper, robust attitude determination based on the indirect extended Kalman filter is proposed. For the nano-satellite, there are only two vectors of magnetic vector and sun vector for vector measurement without redundant sensors. Accordingly, the three-axis attitude determination using conventional algorithm is impossible when one of the vectors is not available. The proposed attitude determination method uses propagation based on satellite attitude dynamics. The gyro measurements are used for a measurement, and angular rates are estimated by measurements and control inputs. Thus the attitude propagation shows much smaller error than conventional attitude update in the simulation results.","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"114 1","pages":"870-873"},"PeriodicalIF":0.0,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88114134","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 : 2014-12-18DOI: 10.1109/ICCAS.2014.6987838
H. Madokoro, Kantarou Kakuta, Ryo Fujisawa, N. Shimoi, Kazuhito Sato, Li Xu
This paper presents a bed-leaving detection method using Elman-type Counter Propagation Networks (ECPNs), a novel machine-learning-based method used for time-series signals. In our earlier study, we used CPNs, a form of supervised model of Self-Organizing Maps (SOMs), to produce category maps to learn relations among input and teaching signals. For this study, we inserted a feedback loop as the second Grossberg layer for learning time-series features. Moreover, we developed an original caster-stand sensor using piezoelectric films to measure weight changes of a subject on a bed to be loaded through bed legs. The features of our sensor are that it obviates a power supply for operations and that it can be installed on existing beds. We evaluated our sensor system by examining 10 people in an environment representing a clinical site. The mean recognition accuracy for seven behavior patterns is 71.1%. Furthermore, the recognition accuracy for three behavior patterns of sleeping, sitting, and leaving the bed is 83.6% Falsely recognized patterns remained inside of respective categories of sleeping and sitting. We infer that this system is applicable to an actual environment as a novel sensor system requiring no restraint of patients.
{"title":"Bed-leaving behavior detection and recognition based on time-series learning using Elman-Type Counter Propagation Networks","authors":"H. Madokoro, Kantarou Kakuta, Ryo Fujisawa, N. Shimoi, Kazuhito Sato, Li Xu","doi":"10.1109/ICCAS.2014.6987838","DOIUrl":"https://doi.org/10.1109/ICCAS.2014.6987838","url":null,"abstract":"This paper presents a bed-leaving detection method using Elman-type Counter Propagation Networks (ECPNs), a novel machine-learning-based method used for time-series signals. In our earlier study, we used CPNs, a form of supervised model of Self-Organizing Maps (SOMs), to produce category maps to learn relations among input and teaching signals. For this study, we inserted a feedback loop as the second Grossberg layer for learning time-series features. Moreover, we developed an original caster-stand sensor using piezoelectric films to measure weight changes of a subject on a bed to be loaded through bed legs. The features of our sensor are that it obviates a power supply for operations and that it can be installed on existing beds. We evaluated our sensor system by examining 10 people in an environment representing a clinical site. The mean recognition accuracy for seven behavior patterns is 71.1%. Furthermore, the recognition accuracy for three behavior patterns of sleeping, sitting, and leaving the bed is 83.6% Falsely recognized patterns remained inside of respective categories of sleeping and sitting. We infer that this system is applicable to an actual environment as a novel sensor system requiring no restraint of patients.","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"128 1","pages":"540-545"},"PeriodicalIF":0.0,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87924548","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 : 2014-12-18DOI: 10.1109/ICCAS.2014.6987965
M. Maierdan, Keigo Watanabe, S. Maeyama
An approach to human behavior recognition is presented in this paper. The system is separated into two parts: human action recognition and object recognition. The estimation result is composed of a simple action “Pointing” and a virtual assumed object, which has two attributes, one is “current status” and the other is “acceptable behavior”. Once the human action and object are recognized, then detect whether a vector calculated by human elbow intersected the object. If the vector is intersected, then estimate human behavior by combining the human action and the object attribute. The artificial neural network (ANN) is discussed as a main part of the current research. Whole ANN processing is simulated by Octave 3.8, the human actions are captured by Microsoft Kinect, and a human model is built by using human joint data.
{"title":"Estimation of human behaviors based on human actions using an ANN","authors":"M. Maierdan, Keigo Watanabe, S. Maeyama","doi":"10.1109/ICCAS.2014.6987965","DOIUrl":"https://doi.org/10.1109/ICCAS.2014.6987965","url":null,"abstract":"An approach to human behavior recognition is presented in this paper. The system is separated into two parts: human action recognition and object recognition. The estimation result is composed of a simple action “Pointing” and a virtual assumed object, which has two attributes, one is “current status” and the other is “acceptable behavior”. Once the human action and object are recognized, then detect whether a vector calculated by human elbow intersected the object. If the vector is intersected, then estimate human behavior by combining the human action and the object attribute. The artificial neural network (ANN) is discussed as a main part of the current research. Whole ANN processing is simulated by Octave 3.8, the human actions are captured by Microsoft Kinect, and a human model is built by using human joint data.","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"11 1","pages":"94-98"},"PeriodicalIF":0.0,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88185206","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 : 2014-12-18DOI: 10.1109/ICCAS.2014.6987763
In-Won Park, Vytas SunSpiral
We are developing impedance controlled twisted string actuators (TSA) for use in tensegrity robots, as an alternative to traditional spooled cable actuation. Tensegrity robots are composed of continuous tension and discontinuous compression elements, with no rigid joints between elements, which give them unique force distribution properties. The use of tensegrity robots is strongly motivated by biological examples, and they are capable of locomotion and manipulation by changing lengths of their continuous network of tensional elements, which is also the primary pathways for load transfer through the structure. TSA show the potential to address some of the unique engineering challenges faced by tensegrity structures, and provide unique qualities well suited to an actively controlled tension system, such as compact, light-weight mechanical structures, inherent compliance, variable “gearing”, and the ability to transmit high forces with a very low input torque. The inherent variable compliance of impedance control is essential for tensegrity robots to move through and manipulate the environment, and is a natural match to the unique qualities of TSA. This paper briefly introduces the tensegrity robots in the NASA Ames Intelligent Robotics Group and an overview of their future application to space planetary exploration. Then the effectiveness and robustness of TSA are verified through the performance of impedance control modes.
{"title":"Impedance controlled twisted string actuators for tensegrity robots","authors":"In-Won Park, Vytas SunSpiral","doi":"10.1109/ICCAS.2014.6987763","DOIUrl":"https://doi.org/10.1109/ICCAS.2014.6987763","url":null,"abstract":"We are developing impedance controlled twisted string actuators (TSA) for use in tensegrity robots, as an alternative to traditional spooled cable actuation. Tensegrity robots are composed of continuous tension and discontinuous compression elements, with no rigid joints between elements, which give them unique force distribution properties. The use of tensegrity robots is strongly motivated by biological examples, and they are capable of locomotion and manipulation by changing lengths of their continuous network of tensional elements, which is also the primary pathways for load transfer through the structure. TSA show the potential to address some of the unique engineering challenges faced by tensegrity structures, and provide unique qualities well suited to an actively controlled tension system, such as compact, light-weight mechanical structures, inherent compliance, variable “gearing”, and the ability to transmit high forces with a very low input torque. The inherent variable compliance of impedance control is essential for tensegrity robots to move through and manipulate the environment, and is a natural match to the unique qualities of TSA. This paper briefly introduces the tensegrity robots in the NASA Ames Intelligent Robotics Group and an overview of their future application to space planetary exploration. Then the effectiveness and robustness of TSA are verified through the performance of impedance control modes.","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"58 1","pages":"1331-1338"},"PeriodicalIF":0.0,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87388243","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 : 2014-12-18DOI: 10.1109/ICCAS.2014.6987973
Sungho Kim, So-Hyun Kim
Conventional target detectors use filter kernel to enhance target signature and depress background clutter. It is important to use a predefined kernel size to enhance target detection performance and speed. This paper presents a geometrical analysis of ground target size using a set of target acquisition parameters and verifies predicted the target size by comparing with the output of commercial simulator (OKTAL SE-WORKBENCH).
{"title":"Target size prediction and verification by geometrical analysis and SE-WORKBENCH for ground target detection","authors":"Sungho Kim, So-Hyun Kim","doi":"10.1109/ICCAS.2014.6987973","DOIUrl":"https://doi.org/10.1109/ICCAS.2014.6987973","url":null,"abstract":"Conventional target detectors use filter kernel to enhance target signature and depress background clutter. It is important to use a predefined kernel size to enhance target detection performance and speed. This paper presents a geometrical analysis of ground target size using a set of target acquisition parameters and verifies predicted the target size by comparing with the output of commercial simulator (OKTAL SE-WORKBENCH).","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"36 1","pages":"137-139"},"PeriodicalIF":0.0,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76168210","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 : 2014-12-18DOI: 10.1109/ICCAS.2014.6987842
M. Hamadache, Dongik Lee
Detection of inchoate fault demands high level of fault classification accuracy under poor signal-to-noise ratio (SNR) which appears in most industrial environment. Vibration signal analysis methods are widely used for bearing fault detection. In order to guarantee improved performance under poor SNR, feature extraction based on statistical parameters which are free from Gaussian noise become inevitable. This paper proposes a feature extraction framework based on principal component analysis (PCA) for improving SNR. Features extracted based on PCA have the tendency to alleviate the impact of non-Gaussian noise. PCA algorithm provides useful time domains analysis for no-stationary signals such as vibration in which spectral contents vary with respect to time. Experimental studies on vibration caused by ball bearing faults show that the proposed algorithm demonstrates the improvements in term of classification accuracy under poor signal-to-noise ratio (SNR).
{"title":"Improving signal-to-noise ratio (SNR) for inchoate fault detection based on principal component analysis (PCA)","authors":"M. Hamadache, Dongik Lee","doi":"10.1109/ICCAS.2014.6987842","DOIUrl":"https://doi.org/10.1109/ICCAS.2014.6987842","url":null,"abstract":"Detection of inchoate fault demands high level of fault classification accuracy under poor signal-to-noise ratio (SNR) which appears in most industrial environment. Vibration signal analysis methods are widely used for bearing fault detection. In order to guarantee improved performance under poor SNR, feature extraction based on statistical parameters which are free from Gaussian noise become inevitable. This paper proposes a feature extraction framework based on principal component analysis (PCA) for improving SNR. Features extracted based on PCA have the tendency to alleviate the impact of non-Gaussian noise. PCA algorithm provides useful time domains analysis for no-stationary signals such as vibration in which spectral contents vary with respect to time. Experimental studies on vibration caused by ball bearing faults show that the proposed algorithm demonstrates the improvements in term of classification accuracy under poor signal-to-noise ratio (SNR).","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"6 1","pages":"561-566"},"PeriodicalIF":0.0,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78965611","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 : 2014-12-18DOI: 10.1109/ICCAS.2014.6987835
Liangsen Wu, Yaming Zhuang
Several extensions of fuzzy sets have been proposed in the literature, such as intuitionistic fuzzy sets, interval-valued intuitionistic fuzzy sets, hesitant fuzzy sets and dual hesitant fuzzy sets. In this paper, we set up dual intuitionistic fuzzy sets (DIFS), encompassing all the above fuzzy sets as special cases. Then we investigate the basic operations and properties of DIFS, and propose an extension principle of DIFS. Finally, a practical example about multicriteria group decision making problem is given to verify our results.
{"title":"Dual intuitionistic fuzzy sets and its application in group decision making","authors":"Liangsen Wu, Yaming Zhuang","doi":"10.1109/ICCAS.2014.6987835","DOIUrl":"https://doi.org/10.1109/ICCAS.2014.6987835","url":null,"abstract":"Several extensions of fuzzy sets have been proposed in the literature, such as intuitionistic fuzzy sets, interval-valued intuitionistic fuzzy sets, hesitant fuzzy sets and dual hesitant fuzzy sets. In this paper, we set up dual intuitionistic fuzzy sets (DIFS), encompassing all the above fuzzy sets as special cases. Then we investigate the basic operations and properties of DIFS, and propose an extension principle of DIFS. Finally, a practical example about multicriteria group decision making problem is given to verify our results.","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"106 1","pages":"525-530"},"PeriodicalIF":0.0,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79552752","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 : 2014-12-18DOI: 10.1109/ICCAS.2014.6987803
S. Hosseini, F. Sedaghati, M. Sabahi, G. Gharehpetian
A Modular DC-DC converter with a high-frequency link and bidirectional power flow capability is presented in this paper. Zero voltage switching (ZVS) operation without using any auxiliary circuit, is one of the most important specifications of the proposed modular DC-DC converter. Also, compatibility for high power applications and less number of switching devices are the other merits of the proposed converter. ZVS analysis of the modular converters is necessary because of their high power applications and high number of power switches. The ZVS condition of the proposed modular DC-DC converter is studied and its criteria are derived in detail. The operation principle of the proposed converter, and its ZVS operation are verified using both simulation and experimental measurement.
{"title":"A Modular DC-DC converter with zero voltage switching capability","authors":"S. Hosseini, F. Sedaghati, M. Sabahi, G. Gharehpetian","doi":"10.1109/ICCAS.2014.6987803","DOIUrl":"https://doi.org/10.1109/ICCAS.2014.6987803","url":null,"abstract":"A Modular DC-DC converter with a high-frequency link and bidirectional power flow capability is presented in this paper. Zero voltage switching (ZVS) operation without using any auxiliary circuit, is one of the most important specifications of the proposed modular DC-DC converter. Also, compatibility for high power applications and less number of switching devices are the other merits of the proposed converter. ZVS analysis of the modular converters is necessary because of their high power applications and high number of power switches. The ZVS condition of the proposed modular DC-DC converter is studied and its criteria are derived in detail. The operation principle of the proposed converter, and its ZVS operation are verified using both simulation and experimental measurement.","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"5 1","pages":"1520-1525"},"PeriodicalIF":0.0,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79593119","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 : 2014-12-18DOI: 10.1109/ICCAS.2014.6987852
Jisu Kim, Jeonghyun Baek, Euntai Kim
In this paper, we propose efficient face recognition based on Grayscale Arranging Pairs (GAP) feature. GAP is a robust holistic feature considering the intensity relationships about all of pixels. Therefore, it has good performance for face recognition. However, GAP feature consider all of pixels and it takes high computational time. In order to reduce computational time, we uses GAP feature in terms of dominant parts such as eyes, nose, mouth and so on. Considering dominant pixels reduces computational time as well as maintains recognition performance. In experiment result, we compare the proposed method with GAP feature in Extended Yale B database. This dataset has various illuminations but the recognition performance of the proposed method has good performance with low computational time.
{"title":"Efficient face recognition based on GAP feature","authors":"Jisu Kim, Jeonghyun Baek, Euntai Kim","doi":"10.1109/ICCAS.2014.6987852","DOIUrl":"https://doi.org/10.1109/ICCAS.2014.6987852","url":null,"abstract":"In this paper, we propose efficient face recognition based on Grayscale Arranging Pairs (GAP) feature. GAP is a robust holistic feature considering the intensity relationships about all of pixels. Therefore, it has good performance for face recognition. However, GAP feature consider all of pixels and it takes high computational time. In order to reduce computational time, we uses GAP feature in terms of dominant parts such as eyes, nose, mouth and so on. Considering dominant pixels reduces computational time as well as maintains recognition performance. In experiment result, we compare the proposed method with GAP feature in Extended Yale B database. This dataset has various illuminations but the recognition performance of the proposed method has good performance with low computational time.","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"124 1","pages":"607-609"},"PeriodicalIF":0.0,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77333291","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 : 2014-12-18DOI: 10.1109/ICCAS.2014.6987755
Shota Kajihara, S. Murakami, Hyoungseop Kim, J. Tan, S. Ishikawa
Rheumatoid arthritis and osteoporosis are two common orthopedic diseases. Rheumatoid arthritis is a disease that inflammation occurs in the joint, which always causes the joints are able to move freely. Osteoporosis is a disease that bone mineral content is reduced and risk of fragility fracture increases. As one of the diagnostic methods, medical imaging by photographed CR equipment has been widely accepted. However, some problems such as mass screening data sets and mis-diagnosis are still remained in visual screening. In order to solve these problems and reduce the burden to physicians, needs of an automatic diagnosis system capable of performing quantitative analysis is anticipated. In this paper, we carry out the development of a segmentation method of phalanges regions from CR images of the hand to perform a quantitative evaluation of rheumatoid arthritis and osteoporosis. The proposed method is carried out crude segmentation of phalanges regions from CR images of the hand, and extracts the detailed phalanges regions by Multi Scale Gradient Vector Flow Snakes (MSGVF) method. In our study, we performed Snakes algorithm to give an initial control points on MSGVF algorithm. We applied our method on three pairs of CR temporal images of phalanges regions, which are called as the previous images and the current images. We got the segmentation results of 5.95 [%] of false-positive rate and 92.9 [%] of true-positive rate.
{"title":"Automatic segmentation of phalanges regions on CR images based on MSGVF Snakes","authors":"Shota Kajihara, S. Murakami, Hyoungseop Kim, J. Tan, S. Ishikawa","doi":"10.1109/ICCAS.2014.6987755","DOIUrl":"https://doi.org/10.1109/ICCAS.2014.6987755","url":null,"abstract":"Rheumatoid arthritis and osteoporosis are two common orthopedic diseases. Rheumatoid arthritis is a disease that inflammation occurs in the joint, which always causes the joints are able to move freely. Osteoporosis is a disease that bone mineral content is reduced and risk of fragility fracture increases. As one of the diagnostic methods, medical imaging by photographed CR equipment has been widely accepted. However, some problems such as mass screening data sets and mis-diagnosis are still remained in visual screening. In order to solve these problems and reduce the burden to physicians, needs of an automatic diagnosis system capable of performing quantitative analysis is anticipated. In this paper, we carry out the development of a segmentation method of phalanges regions from CR images of the hand to perform a quantitative evaluation of rheumatoid arthritis and osteoporosis. The proposed method is carried out crude segmentation of phalanges regions from CR images of the hand, and extracts the detailed phalanges regions by Multi Scale Gradient Vector Flow Snakes (MSGVF) method. In our study, we performed Snakes algorithm to give an initial control points on MSGVF algorithm. We applied our method on three pairs of CR temporal images of phalanges regions, which are called as the previous images and the current images. We got the segmentation results of 5.95 [%] of false-positive rate and 92.9 [%] of true-positive rate.","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"112 1","pages":"1290-1293"},"PeriodicalIF":0.0,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90366707","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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