研究者詳細 - 神谷　亨

論文 - 神谷　亨

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An ego-camera based finger-spelling recognition system 査読有り国際誌

Tan J., Hamada S., Hirakawa M., Kim H., Ishikawa S.

IEEE Region 10 Annual International Conference, Proceedings/TENCON 358 - 363 2017年02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）

© 2016 IEEE.This paper describes a portable system for finger-spelling recognition, employing a PC and a video taken by an ego-camera mounted on the body of a person who does finger-spelling. The system is intended to be a useful tool for an orally impaired person to communicate to anyone at any place by carrying it with him/her. The images of the finger-spelling hand of a user who is carrying the system is captured by an ego-camera. The hand is extracted from arbitrary backgrounds by use of a Gaussian mixture model and skin color evaluation: The trimmed and normalized image of the extracted hand is recognized employing the feature space defined by applying the principal component analysis to the learning data containing 45 finger-spelled Japanese Hiragana letters each with 50 samples and the nearest neighbor method. The on-line performance of the proposed system is experimentally shown.

DOI： 10.1109/TENCON.2016.7848021

Scopus

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経時的差分像技術を用いた結節状候補陰影の検出

金，村上，寺澤，青木，木戸

呼吸機能イメージング研究会学術集会講演論文集 58 - 58 2017年01月

Underwater image super-resolution by descattering and fusion 査読有り国際誌

Lu H., Li Y., Nakashima S., Kim H., Serikawa S.

IEEE Access 5 670 - 679 2017年01月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2013 IEEE. Underwater images are degraded due to scatters and absorption, resulting in low contrast and color distortion. In this paper, a novel self-similarity-based method for descattering and super resolution (SR) of underwater images is proposed. The traditional approach of preprocessing the image using a descattering algorithm, followed by application of an SR method, has the limitation that most of the high-frequency information is lost during descattering. Consequently, we propose a novel high turbidity underwater image SR algorithm. We first obtain a high resolution (HR) image of scattered and descattered images by using a self-similarity-based SR algorithm. Next, we apply a convex fusion rule for recovering the final HR image. The super-resolved images have a reasonable noise level after descattering and demonstrate visually more pleasing results than conventional approaches. Furthermore, numerical metrics demonstrate that the proposed algorithm shows a consistent improvement and that edges are significantly enhanced.

DOI： 10.1109/ACCESS.2017.2648845

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018527963&origin=inward

Highly accurate energy-conserving flexible touch sensors 査読有り国際誌

Lu H., Li Y., Li Y., Serikawa S., Kim H.

Sensors and Materials 29 ( 6 ) 611 - 617 2017年01月

担当区分：責任著者記述言語：英語掲載種別：研究論文（学術雑誌）

© MYU K.K. Smart touch sensors are used in many applications, such as the iPhone and some smart home systems. Recent touch sensors perform well in consumer electrical devices; however, there are some drawbacks. For example, most touch sensors have low accuracy for detecting human movements. Many require significant power and have a fixed shape. We propose a flexible, highly accurate, and energy-conserving touch sensor. Our primary contributions are as follows: (1) an energy-conserving touch sensor is developed and tested experimentally; (2) a flexible and arbitrarily shaped touch sensor is designed; and (3) the manufacturing cost is very low and up to 200 touch sensors can be connected to the system. As a result, this energy-conserving touch sensor can be fabricated using common manufacturing processes for consumer electronic devices.

DOI： 10.18494/SAM.2017.1458

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85020809645&origin=inward

Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering 査読有り国際誌

Lu H., Zhang Y., Li Y., Zhou Q., Tadoh R., Uemura T., Kim H., Serikawa S.

IEEE Access 5 7115 - 7122 2017年01月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2017 IEEE. Underwater optical cameras are widely used for security monitoring in ocean, such as earthquake prediction and tsunami alarming. Optical cameras recognize objects for autonomous underwater vehicles and provide security protection for sea-floor networks. However, there are many issues for underwater optical imaging, such as forward and backward scattering, light absorption, and sea snow. Many underwater image processing techniques have been proposed to overcome these issues. Among these techniques, the depth map gives important information for many applications of the post-processing. In this paper, we propose a Kinect-based underwater depth map estimation method that uses a captured coarse depth map by Kinect with the loss of depth information. To overcome the drawbacks of low accuracy of coarse depth maps, we propose a corresponding reconstruction architecture that uses the underwater dual channels prior dehazing model, weighted enhanced image mode filtering, and inpainting. Our proposed method considers the influence of mud sediments in water and performs better than the traditional methods. The experimental results demonstrated that, after inpainting, dehazing, and interpolation, our proposed method can create high-accuracy depth maps.

DOI： 10.1109/ACCESS.2017.2690455

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85028360504&origin=inward

細胞領域の論理積を用いた蛍光顕微鏡画像からの血中循環がん細胞の自動検出査読有り

辻幸喜, 陸慧敏, タンジュークイ, 金亨燮, 米田和恵, 田中文啓

医用画像情報学会雑誌 ( 医用画像情報学会 ) 34 ( 4 ) 151 - 155 2017年01月

担当区分：責任著者記述言語：日本語掲載種別：研究論文（学術雑誌）

Circulating tumor cells（CTCs）can be a useful biomarker. They may have some information about the malignant disease, since they are one of causes of the cancer metastasis. The blood sample from cancer patient is analyzed by fluorescence microscope. This microscope takes enlarged images with three types of lights（red, green and blue）,and specific materials are reacted respectively. The blood contains a lot of cells, but there are few CTCs. Therefore analyzing them is not easy work for pathologists. In this study, we develop a method which detects circulating tumor cells in fluorescence microscopy images automatically. Our proposed method has three steps. First, we extract cell regions in microscopy images by using filtering processing. Second, we separate the connecting cell regions into single cell regions,based on the branch and bound algorithm. Finally, we identify CTCs by using logical conjunction method. We demonstrated the effectiveness of our proposed method using 6 cases（5040 microscopy images）, and we evaluated the performance of CTCs identification. Our proposed method achieved, a true positive rate of 95.27 [%] and a false positive rate of 6.172 [%] respectively. And we confirmed the effectiveness of the logical conjinction for CTCs identicication.

DOI： 10.11318/mii.34.151

CiNii Article

CiNii Research

その他リンク： https://ci.nii.ac.jp/naid/130006267703

転移深層学習畳み込みニューラルネットワークを用いたCTコロノグラフィ候補陰影からのポリープ分類法査読有り

植村知規, 陸慧敏, 金亨燮, 橘理恵, 弘中亨, Janne J. Näppi, 吉田広行

医用画像情報学会雑誌 ( 医用画像情報学会 ) 34 ( 2 ) 80 - 86 2017年01月

担当区分：責任著者記述言語：日本語掲載種別：研究論文（学術雑誌）

Computed tomographic colonography（CTC）, also known as virtual colonoscopy, provides a minimally invasive screening method for early detection of colorectal lesions. It can be used to solve the problems of accuracy, capacity, cost,and safety that have been associated with conventional colorectal screening methods. Computer-aided detection（CADe）has been shown to increase radiologists' sensitivity and to reduce inter-observer variance in detecting colonic polyps in CTC. However, although CADe systems can prompt locations of abnormalities at a higher sensitivity than that of radiologists,they also prompt relatively large numbers of false positives（FPs）. In this study, we developed and evaluated the effect of a transfer-learning deep convolutional neural network（TL-DCNN）on the classification of polyp candidates detected by a CADe system from dual-energy CTC images. A deep convolution neural network（DCNN）that had been pre-trained with millions of natural non-medical images was fine-tuned to identify polyps by use of pseudo-colored images that were generated by assigning axial, coronal, and sagittal images of the polyp candidates to the red, green, and blue channels of the images, respectively. The classification performances of the TL-DCNN and the corresponding non-transfer-learning DCNN were evaluated by use of 5-fold cross validation on 20 clinical CTC cases. The TL-DCNN yielded true- and falsepositive rates of 73.6［％］and 1.79［％］, respectively, which were significantly higher than those of the non-transferlearning DCNN. This preliminary result demonstrates the effectiveness of the TL-DCNN in the classification of polyp candidates from CTC images.

DOI： 10.11318/mii.34.80

CiNii Article

CiNii Research

その他リンク： https://ci.nii.ac.jp/naid/130006846731

DCNNによるLIDCデータからのすりガラス状陰影の検出査読有り

平山一希, 陸慧敏, タンジュークイ, 金亨燮, 橘理恵, 平野靖, 木戸尚治

医用画像情報学会雑誌 ( 医用画像情報学会 ) 34 ( 2 ) 70 - 74 2017年01月

担当区分：責任著者記述言語：日本語掲載種別：研究論文（学術雑誌）

Lung cancer is one of the most important cancer in the world. Among them, Ground Glass Opacity（GGO）has a hazy area of increased attenuation in the lung image. In recent years, development of a Computer Aided Diagnosis （CAD）system for reducing the burden on work load and improving the detection rate of lesions has been advanced. In this paper, we propose a CAD system to extract GGO from CT images. Firstly, we extract the lung region from the input CT images and remove the vessel, and bronchial region based on 3 D line filter algorithm. After that, we extract initial GGO regions using concentration and gradient information. Next, we calculate the statistical features on the segmented regions. After that, we classify GGO regions using support vector machine（SVM）. Finally, we detect the final GGO regions using deep convolutional neural network（DCNN）. The proposed method is tested on 31 cases of CT images from the Lung Image Database Consortium（LIDC）. The results demonstrate that the proposed method has 86.05[%] of true positive rate and 39.03[/case] of false positive number.

DOI： 10.11318/mii.34.70

CiNii Article

CiNii Research

その他リンク： https://ci.nii.ac.jp/naid/130006846732

Current distribution based power module screening by new normal/abnormal classification method with image processing 査読有り国際誌

Tsukuda M., Yuki D., Tomonaga H., Kim H., Omura I.

Proceedings of the International Symposium on Power Semiconductor Devices and ICs 407 - 410 2017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）

We developed a screening equipment for ceramic substrate level power module of IGBT. The equipment realizes a new screening test with current distribution. The equipment acquires magnetic field signals over bonding wires and finally classifies to normal/abnormal module automatically. We established statistics based normal/abnormal classification with image processing. It is expected to be applied for screening in a production line and analysis to prevent the failure of power modules.

DOI： 10.23919/ISPSD.2017.7988970

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85028510316&origin=inward

Automatic segmentation of cell candidate region in Microscopy images based on an optimization algorithm 査読有り

Tsuji, Tan, Kim, Yoneda, Tanaka

International Conference on Control, Automation and Systems 720 - 723 2016年10月

Extraction of GGO candidat regions from the LIDC database using deep learning 査読有り

Hirayama, Tan, Kim

International Conference on Control, Automation and Systems 724 - 727 2016年10月

Identify rheumatoid arthritis and osteoporosis from phalange CR images based on image registration and ANN 査読有り

Kajihara S., Murakami S., Murakami S., Tan J., Kim H., Aoki T.

ICIC Express Letters 10 ( 10 ) 2435 - 2440 2016年10月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2016 ICIC International.Rheumatoid arthritis and osteoporosis are two of the major diseases related to the phalanges. Diagnostic imaging is often used to diagnosis them. Especially, observing the temporal changes of the shape or internal structure of the phalanges in phalange CR images is an effective way to detect these diseases. However, there are various problems in image diagnosis, such as the evaluation of diagnosis is generally empiric, and the burden of reading images is heavy. In order to solve these problems, in this paper, we develop a computer aided diagnosis (CAD) system for automatically diagnosing, which includes segmentation of knuckles, registration of temporal images and features analysis of phalange regions. In the segmentation part, we perform the multi scale gradient vector flow (MSGVF) snakes to improve the precision of extracted results. Also we have developed an image registration technique based on salient region features (SRF) method. Two image features are used to train the artificial neural network (ANN) to identify the abnormal knuckle regions.

Scopus

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Identify Rheumatoid Arthritis and Osteoporosis from Phalange CR Images Image　Based on Image Registration and ANN 査読有り国際誌

Kajihara, Murakami, Tan, Kim, Aoki

ICIC Express Letters 10 ( 10 ) 2435 - 2440 2016年10月

A Computer Aided Diagnosis System to Identify Rheumatoid Arthritis and Osteoporosis from Phalange CR Image 査読有り国際誌

Kajihara, Murakami, Tan, Kim, Aoki

11th International Conference on Innovative Computing, Information and Control 2016年08月

A method of detecting salient regions employing global and local saliency 査読有り

Kuwata I., Kooi Tan J., Kim H., Ishikawa S.

ICIC Express Letters, Part B: Applications 7 ( 3 ) 555 - 561 2016年03月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2016.This paper proposes a method of detecting prominent regions from an image using a global and local saliency measure. Detection of prominent regions from an image is important, because it is expected to improve the precision and the processing speed of object recognition through image processing. The proposed method employs two spatial redundancies, global saliency and local saliency. Global saliency is calculated by comparing the value of an interested pixel with the mode of the values of all pixels. On the other hand, local saliency is calculated using the relation among local pixels. In calculating the local saliency, the proposed method employs human visual characteristics, i.e., complementary color harmony to detect salient regions. Saliency map is made by integrating the global saliency and the local saliency considering some weights. Experimental results show the effectiveness of the proposed method.

Scopus

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Detecting pedestrian and extracting their attributes from self-mounted camera views 査読有り

Sakai R., Kooi Tan J., Kim H., Ishikawa S.

ICIC Express Letters, Part B: Applications 7 ( 2 ) 279 - 286 2016年02月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2016 ICIC International.There are not a few visually impaired people in our society. When they want to go for a walk, it is difficult for them to perceive moving objects around them. When they walk on the sidewalk, they must pay strong attention to those coming closer to them or to moving objects. Therefore, it is indispensable for them to obtain the information on moving objects around them. This paper proposes a method of extracting moving objects, in particular, pedestrians, from self-wearable camera images. In the proposed system, a user is supposed to wear a camera and a PC and, by performing image analysis of the video taken from the camera, it acquires surrounding pedestrians’ information including their peculiar characteristics. The information is fed back to the user to realize his/her safe walk. Experimental results are shown and the performance of the proposed method is evaluated. The proposed system is primarily intended to be used by visually impaired people, but it may also be used by any pedestrian who is not paying much attention to his/her surroundings.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959361584&origin=inward

Traffic signs and signals detection employing the my vision system for a visually impaired person 査読有り

Kumano T., Kooi Tan J., Kim H., Ishikawa S.

ICIC Express Letters, Part B: Applications 7 ( 2 ) 385 - 391 2016年02月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2016 ICIC International. In recent years, the equipment on walk support for visually impaired persons has spread to a certain extent. A studded paving block and a sound-type signal are set on the sidewalk or on the road in many places. However, there are still problems such that the studded paving block is still installed at limited places, or the sound of the signal is obscure because of the environmental noise such as roaring traffic or heavy rain. Therefore, a system that can support visually impaired persons in more effective way is necessary, such as a system which finds a signal or a traffic sign automatically and provides its information to the visually impaired. In order to realize such a system, this paper proposes a method of detecting pedestrian signals and crosswalk signs by a camera and a computer which we call MY VISION system. In the proposed method, color information is used in the first step to restrict the search for traffic signal and sign candidates, and then the HOG feature is introduced to describe the candidates by feature vectors. Recognition of the signals and the signs is performed by applying randomized trees to the candidates. The color sign of the pedestrian signal is also discriminated by using color information. Experimental results are shown and the method is evaluated.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959357672&origin=inward

Detection method for candidate regions of ground glass opacity on LIDC database using image features 査読有り

Yokota K., Kim H., Tan J., Ishikawa S., Tachibana R., Hirano Y., Kido S., Aoki T.

Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers 70 ( 8 ) J178 - J184 2016年01月

画像特徴を用いたLIDCデータベースからのすりガラス状候補陰影の検出法査読有り

横田佳祐, 金亨燮, タンジュークイ, 石川聖二, 橘理恵, 平野靖, 木戸尚治, 青木隆敏

映像情報メディア学会誌 70 ( 8 ) J178 - J184 2016年01月

記述言語：日本語掲載種別：研究論文（学術雑誌）

本稿では読影医師への負担軽減と読影精度の向上を目的とし，LIDCデータベース上の胸部CT画像からのGGO候補領域の自動抽出法を提案する．手法としては，まず肺野領域の抽出を行い，得られた肺野領域に対し，3D Line Filterによる血管・気管支領域の除去を行う．その後，濃度・勾配閾値処理により初期GGO候補領域を抽出する．そして初期GGO候補領域のセグメンテーションを行い，統計的特徴量を算出する．最後に，特徴量を基に識別器を構築し，最終的なGGO候補領域を決定する．本稿では，識別器としてニューラルネットワークとサポートベクターマシンの2種類を用い，両者の識別性能を比較する．実験では，提案法をLIDCデータベース上の胸部CT画像31症例に適用し，その結果に対する考察と有用性を述べる．

DOI： 10.3169/itej.70.J178

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130005165445

MY VISION システムを用いた指文字認識

平川学, タンジュークイ, 金亨燮, 石川聖二, Hamada SATOSI

バイオメディカル・ファジィ・システム学会大会講演論文集 ( バイオメディカル・ファジィ・システム学会 ) 29 ( 0 ) 41 - 44 2016年01月

記述言語：日本語掲載種別：研究論文（研究会，シンポジウム資料等）

This paper proposes a method of recognizing finger-spelled letters using the MY VISION system which contains a camera mounted on the chest of a human and a PC. A finger-speller performs the spelling to the camera. The images of the speller's hand are captured and hand areas are detected employing skin color. For the detection, skin color calibration is performed in advance to cope with various illumination conditions and cluttered backgrounds. The shape and motion of the hand area are analyzed to recognize the finger-spelled letters. The PCA and the nearest neighbor method are employed for the recognition. The high recognition rate with the finger-spelled letters was achieved by the proposed system along with the high speed recognition.

DOI： 10.24466/pacbfsa.29.0_41

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130007979809

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