研究者詳細 - 丹上　結乃純

論文 - 丹上　結乃純

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A method for cardiac region segmentation on ultrasound images based on particle filter algorithm 査読有り

Kim H., Sugandi B., Tan J., Ishikawa S.

Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS MCCSIS 2012 157 - 162 2012年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

This paper presents a contour segmentation of cardiac region on ultrasound images viewed as a tracking framework. We develop a tracking model for contour segmentation and estimate the image contour using particle filter algorithm. The tracking model is initialized by projecting equip spaced radii from center point of the contour to the tracking boundary. The motion of each particle on the radii is governed by a system model. The samples likelihood is measured based on the gradient intensity or edge of the contour. Then the estimated contour is measured based on the mean estimate of the samples likelihood. Our proposed method is implemented to the ultrasound images of a cardiac and the satisfactory results are achieved. © 2012 IADIS.

Scopus

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Classification of lung nodules on temporal subtraction image based on statistical features and improvement of segmentation accuracy 査読有り

Miyajima T., Tokisa T., Maeda S., Kim H., Tan J., Ishikawa S., Murakami S., Aoki T.

International Conference on Control, Automation and Systems 1814 - 1817 2012年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Recently, thorax MDCT images are used in visual screening for early detection of lung nodules. Radiologists can easily detect lung nodules on images, but it has enormous images and load of radiologist for visual screening. To reduce the load of radiologist and improve the detection accuracy, a CAD (Computer Aided Diagnosis) system is expected from medical fields. In the medical image processing fields, some related works are reported to develop the CAD system including temporal subtraction technique as helpful technical issues. In this paper, we propose a classification of lung nodules on temporal subtraction image based on image processing technique. At first, the candidate regions including nodules are detected by the multiple threshold technique in terms of the pixel value on the temporal subtraction images. Then, we remove vessel regions on nodules by the most suitable threshold technique and watershed method. Also we remove the false positives which are caused by mis-registration using selective enhancement filter, rule-base method and artificial neural networks. In this paper, we illustrate some experimental result which applied our algorithm to 31 chest MDCT cases including lung nodules. © 2012 ICROS.

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Nonrigid image registration method for thoracic CT images using vessel structure information 査読有り

Maeda S., Kim H., Tan J., Ishikawa S., Murakami S., Aoki T.

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 1413 - 1417 2012年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Temporal Subtraction Technique is one of effective tools for diagnosis of lung cancer from thoracic CT images. By comparing two images of the same subject but shot at different time, the detection of temporal changing becomes facilitated. To acquire a more accurate subtraction image, the registration of these two images is critical. However it is not easy as the influence of the slight structures such as lung blood vessel. In this paper, a novel nonrigid image registration method based on vessel structure information is proposed. The similarity of the vessels structure is defined by means of the likelihood function of vessels structure and their direction. We combine this similarity of vessels with the intensity information of images. And the metrics are used as similarity measure in registration procedure. The proposed method has been applied to thoracic MDCT images, and the improvement of registration accuracy was investigated. The efficiency of our proposed method was indicated. © 2012 IEEE.

DOI： 10.1109/ICSMC.2012.6377932

Scopus

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Obstacles extraction from a video taken by a moving camera 査読有り

Qian S., Tan J. K., Kim H., Ishikawa S.

Proceedings of International Conference on Connected Vehicles (ICCVE2012) USB:1 - USB:6 USB: 6Pages 2012年11月

Three-dimensional recovery of buildings environment under Manhattan-world constraint 査読有り

Ishikawa S., Tan J. K., Kim H., Ishikawa S.

Proc. of the IIEEJ Image Electronics and Visual Computing Workshop 2012 USB:1 - USB:4 USB:4Pages 2012年11月

Human detection from an image employing reduced number of weak-classifiers 査読有り

Ehara Y., Tan J. K., Kim H., Ishikawa S.

Proc. of the IIEEJ Image Electronics and Visual Computing Workshop 2012 USB:1 - USB:5 USB:5Pages 2012年11月

Arterial hemodynamic analysis on non-enhanced magnetic resonance angiogram using optical flow 査読有り

Yamamoto A., Kim H., Tan J., Ishikawa S.

Artificial Life and Robotics 17 ( 1 ) 102 - 106 2012年10月

記述言語：英語掲載種別：研究論文（学術雑誌）

© ISAROB 2012. Peripheral arterial disease (PAD) is one of the reasons caused to the lower extremity atherosclerotic disease. Its diagnosis is needed to obtain much kind of the information of vascular morphology as well as the blood flow information based on hemodynamics. The diagnosis of the PAD using magnetic resonance imaging (MRI) equipment without contrast medium is available as a useful visual screening in clinical practice. In this paper, we propose a novel method for visualizing hemodynamics to arterial images obtained by a non-contrast enhanced magnetic resonance angiography (MRA) based on the Lucas–Kanade optical flow with the image pyramid processing, and satisfied experimental results are obtained.

DOI： 10.1007/s10015-012-0022-8

Scopus

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Applying MSC-HOG feature to the detection of a human on a bicycle 査読有り

Jung H., Tan J. K., Kim H., Ishikawa S.

12th International Conference on Control, Automation and Systems (ICCAS) 514 - 517 2012年10月

A camera-computer system to support safe walking of a blind person 査読有り

Kanayama A., Tan J. K., Kim H., Ishikawa S.

12th International Conference on Control, Automation and Systems (ICCAS) 511 - 513 2012年10月

A simple pedestrian detection using LBP-based patterns of oriented edges 査読有り

Boudissa A., Tan J. K., Kim H., Ishikawa S.

Proc. of Int. Conf. on Image Processing (ICIP2012) 469 - 472 2012年09月

Japanese finger-spelling recognition using a chest-mounted camera 査読有り

Nagasue A., Tan J. K., Kim H., Ishikawa S.

Proc. SICE Annual Conf. 2012 909 - 912 2012年08月

Human motion recognition employing infrared radiation camera images 査読有り

Hiroshima T., Tan J. K., Kim H., Ishikawa S.

Proc. SICE Annual Conf. 2012 392 - 395 2012年08月

An effective directional motion database organization for human motion recognition 査読有り

S. M. Ashik Eftakhar, Joo Kooi Tan, Hyoungseop Kim,Seiji Ishikawa

International Journal of Innovative Computing, Information and Control 8 ( 2 ) 1359 - 1370 2012年02月

Arterial Hemodynamic Analysis on Non-enhanced Magnetic Resonance Angiogram Using Optical Flow 査読有り

Yamamoto, Kim, Tan, Ishikawa

The 17th International Symposium on Artificial Life and Robotics 926 - 929 2012年01月

Human motion recognition employing infrared radiation camera images 査読有り

Hiroshima T., Tan J., Kim H., Ishikawa S.

Proceedings of the SICE Annual Conference 392 - 395 2012年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

This paper proposes a method of motion recognition in real night environment employing an infrared radiation camera. We record a video employing an infrared radiation camera to perform motion recognition at night. We use Directional Motion History Images (DMHIs) and Directional Motion Energy Images (DMEIs) for human motion representation. For the recognition of the motions, we employ the eigenspace method. In the experiment, it was confirmed that the human motion recognition at night is possible. © 2012 SICE.

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Japanese finger-spelling recognition using a chest-mounted camera 査読有り

Nagasue A., Tan J., Kim H., Ishikawa S.

Proceedings of the SICE Annual Conference 909 - 912 2012年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

This paper proposes a technique for recognizing Japanese finger-spelling using a sign language user's chest-mounted camera. Unlike existent systems, the technique employs a chest-mounted camera attached to a sign language user himself/herself and recognizes his/her sign language through the captured images of Japanese finger-spelling. We use a hand area picture of his/her hand and the MHIs (Motion History Images) for the Japanese finger-spelling recognition. For the recognition method, we employ the ICA (Independent Component Analysis). Furthermore, in order to recognize the Japanese finger-spelling from an animation (an image sequence), a character segmentation technique is also proposed. The performance of the proposed system is shown experimentally. © 2012 SICE.

Scopus

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Human detection employing the HOG feature based on multiple scale cells 査読有り

Ehara Y., Tan J. K., Ishikawa S., Morie T.

Proc. of the 17th Int. Sympo. on Artificial Life and Robotics 1047 - 1050 2012年01月

Japanese finger-spelling recognition using a chest-mounted camera 査読有り

Nagasue A., Tan J. K., Kim H., Ishikawa S.

Proc. of the 17th Int. Sympo. on Artificial Life and Robotics 1059 - 1062 2012年01月

Applying HOG feature to the detection and tracking of a human on a bicycle 査読有り

Jung H., Tan J., Ishikawa S., Morie T.

International Conference on Control, Automation and Systems 1740 - 1743 2011年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Detection of a human on a bicycle is an important research subject in an advanced safety vehicle driving system to decrease traffic accidents. The Histograms of Oriented Gradients (HOG) feature has been proposed as useful feature for detecting a standing human in various kinds of background. So, many researchers use currently the HOG feature to detect a human. Detecting a human on a bicycle is more difficult than detecting a human because a bicycle's appearance can change dramatically according to viewpoints. In this paper, we propose a method of detecting a human on a bicycle using HOG feature and RealAdaboost algorithm. When detecting a human on a bicycle, occlusion is a cause of decreasing detection efficiency. Occlusion is a serious matter in car vision research because there are occlusions in real transportation environment. We decide the next position of a human on a bicycle using object tracking. Experimental results and evaluation show satisfactory performance of the proposed method. © 2011 ICROS.

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Obstacle detection using a moving camera 査読有り

Qian S., Tan J., Ishikawa S., Morie T.

Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11 767 - 770 2011年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

This paper proposes a method of detecting obstacles from a video taken by a moving camera mounted on a vehicle by background subtraction. The background subtraction is often used to detect moving objects when camera is static. But according to the characteristics of a road, we can also employ Gaussian mixture model to detect all objects (either static or moving objects) on the road in the case of moving camera. Then we use two consecutive image frames, and warps the first image according to the geometrical relationship between these two images. The road area is then extracted by comparing the warped image with the second image. Using this road area, we can delete all things which are not obstacles. In the performed experiments, it is shown that the proposed method is able to detect obstacles such as vehicles and pedestrians on a road. © 2011 ISAROB.

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