Prof. Yung-Sheng Chen Profile

Prof. Yung-Sheng Chen

Professor at Yuan Ze Univ

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Author

Publications (18)

Proceedings Article | 6 September 2019 Paper

Thyroid nodule diagnosis system based on the densely connected convolutional network

Li-Jen Liao, Min-Hsiung Lin, Chi Chen, Yung-Sheng Chen

Proceedings Volume 11137, 111372O (2019) https://doi.org/10.1117/12.2529890

KEYWORDS: Convolutional neural networks, Ultrasonography, Tumors, Image processing, Ultrasonics, CAD systems, Computer aided diagnosis and therapy, Image classification

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Proceedings Article | 6 September 2019 Paper

A compact representation of character skeleton using skeletal line based shape descriptor

Ming-Te Chao, Yung-Sheng Chen

Proceedings Volume 11137, 111372P (2019) https://doi.org/10.1117/12.2529933

KEYWORDS: Shape analysis, Image processing, Reconstruction algorithms

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SPIE Journal Paper | 22 January 2018

Skeletonization application: Chinese calligraphy character representation and reconstruction

Yung-Sheng Chen, Ming-Te Chao

JEI, Vol. 27, Issue 05, 051202, (January 2018) https://doi.org/10.1117/12.10.1117/1.JEI.27.5.051202

KEYWORDS: Reconstruction algorithms, Chaos, Shape analysis, Neck, Image segmentation, Algorithm development, Laser sintering, Visualization, Binary data, 3D image reconstruction

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SPIE Journal Paper | 18 July 2016

Computer vision on color-band resistor and its cost-effective diffuse light source design

Yung-Sheng Chen, Jeng-Yau Wang

JEI, Vol. 25, Issue 06, 061409, (July 2016) https://doi.org/10.1117/12.10.1117/1.JEI.25.6.061409

KEYWORDS: Resistors, Light sources, Machine vision, Computer vision technology, Image segmentation, Image processing, Silver, Light emitting diodes, Signal to noise ratio, Computing systems

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Proceedings Article | 22 September 2015 Paper

Implementation of cost-effective diffuse light source mechanism to reduce specular reflection and halo effects for resistor-image processing

Yung-Sheng Chen, Jeng-Yau Wang

Proceedings Volume 9599, 959928 (2015) https://doi.org/10.1117/12.2187895

KEYWORDS: Resistors, Light sources, Light emitting diodes, Image segmentation, Photoresistors, Microscopes, Image processing, LED lighting, Specular reflections, Light

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SPIE Journal Paper | 1 March 2011

Leaf segmentation, classification, and three-dimensional recovery from a few images with close viewpoints

Chin-Hung Teng, Yi-Ting Kuo, Yung-Sheng Chen

OE, Vol. 50, Issue 03, 037003, (March 2011) https://doi.org/10.1117/12.10.1117/1.3549927

KEYWORDS: Image segmentation, 3D image processing, Charge-coupled devices, Image processing algorithms and systems, Cameras, Classification systems, Image classification, Optical flow, Optical engineering, Calibration

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Proceedings Article | 12 March 2007 Paper

Automatic ultrasonic breast lesions detection using support-vector-machine-based algorithm

Chih-Kuang Yeh, Shan-Jung Miao, Wei-Che Fan, Yung-Sheng Chen

Proceedings Volume 6513, 651317 (2007) https://doi.org/10.1117/12.702960

KEYWORDS: Speckle, Breast, Ultrasonography, Binary data, Ultrasonics, Tumors, Image classification, Image processing, Computer simulations, Signal processing

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It is difficult to automatically detect tumors and extract lesion boundaries in ultrasound images due to the variance in shape, the interference from speckle noise, and the low contrast between objects and background. The enhancement of ultrasonic image becomes a significant task before performing lesion classification, which was usually done with manual delineation of the tumor boundaries in the previous works. In this study, a linear support vector machine (SVM) based algorithm is proposed for ultrasound breast image training and classification. Then a disk expansion algorithm is applied for automatically detecting lesions boundary. A set of sub-images including smooth and irregular boundaries in tumor objects and those in speckle-noised background are trained by the SVM algorithm to produce an optimal classification function. Based on this classification model, each pixel within an ultrasound image is classified into either object or background oriented pixel. This enhanced binary image can highlight the object and suppress the speckle noise; and it can be regarded as degraded paint character (DPC) image containing closure noise, which is well known in perceptual organization of psychology. An effective scheme of removing closure noise using iterative disk expansion method has been successfully demonstrated in our previous works. The boundary detection of ultrasonic breast lesions can be further equivalent to the removal of speckle noise. By applying the disk expansion method to the binary image, we can obtain a significant radius-based image where the radius for each pixel represents the corresponding disk covering the specific object information. Finally, a signal transmission process is used for searching the complete breast lesion region and thus the desired lesion boundary can be effectively and automatically determined. Our algorithm can be performed iteratively until all desired objects are detected. Simulations and clinical images were introduced to evaluate the performance of our approach. Several types of cysts with different contours and contrast resolutions images were simulated with speckle characteristics. Four thousand sub-images of tumor objects and speckle-noised background were used for SVM training. Comparison with conventional algorithms such as active contouring, the proposed algorithm does not need to position any initial seed point within the lesion and is able to detect simultaneously multiple irregular shape lesions in a single image, thus it can be regarded as a fully automatic process. The results show that the mean normalized true positive area overlap between true contour and contour obtained by the proposed approach is 90%.

Proceedings Article | 12 March 2007 Paper

A new contrast-assisted method in microcirculation volumetric flow assessment

Sheng-Yi Lu, Yung-Sheng Chen, Chih-Kuang Yeh

Proceedings Volume 6513, 651316 (2007) https://doi.org/10.1117/12.708114

KEYWORDS: Toxic industrial chemicals, Blood circulation, Solids, Ultrasonography, Transducers, Blood, Tumors, Backscatter, Tissues, Acoustics

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Proceedings Article | 9 February 2006 Paper

An active contour algorithm for detecting the circular features in a PCB x-ray image

Yung-Sheng Chen, Chia-Hao Wu, Wen-Fong Hu

Proceedings Volume 6070, 60700O (2006) https://doi.org/10.1117/12.643029

KEYWORDS: X-ray imaging, X-rays, Inspection, Image processing, Image analysis, Tolerancing, Metals, Imaging systems, Image quality, Optical inspection

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SPIE Journal Paper | 1 January 2005

Efficient fuzzy c-means clustering for image data

Yung-Sheng Chen, Bor-Tow Chen

JEI, Vol. 14, Issue 01, 013017, (January 2005) https://doi.org/10.1117/12.10.1117/1.1879012

KEYWORDS: Image compression, Image processing, Fuzzy logic, Image analysis, Image quality, Multispectral imaging, Feature extraction, Image enhancement, Data storage, Image segmentation

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SPIE Journal Paper | 1 October 2003

Image recall using indexing process and semantic description

Hui-Yu Huang, Yung-Sheng Chen, Wen Hsing Hsu

JEI, Vol. 12, Issue 04, (October 2003) https://doi.org/10.1117/12.10.1117/1.1605105

KEYWORDS: Image processing, Image segmentation, Databases, Fuzzy logic, Feature extraction, Artificial intelligence, Human vision and color perception, Image retrieval, Image understanding, Machine vision

SPIE Journal Paper | 1 October 2002

Morphology-based license plate detection in images of differently illuminated and oriented cars

Jun-Wei Hsieh, Shih-Hao Yu, Yung-Sheng Chen

JEI, Vol. 11, Issue 04, (October 2002) https://doi.org/10.1117/12.10.1117/1.1501575

KEYWORDS: Image segmentation, Light sources and illumination, Feature extraction, Detection and tracking algorithms, Image processing, Cameras, Analog electronics, Optical character recognition, Visualization, Image registration

SPIE Journal Paper | 1 April 2002

Color image segmentation using self-organizing map algorithm

Hui-Yu Huang, Yung-Sheng Chen, Wen Hsing Hsu

JEI, Vol. 11, Issue 02, (April 2002) https://doi.org/10.1117/12.10.1117/1.1455007

KEYWORDS: Image segmentation, Image processing algorithms and systems, Color image segmentation, Image processing, Human vision and color perception, RGB color model, Color image processing, Color difference, Neurons, Visualization

Proceedings Article | 25 September 2001 Paper

Design of a linear motion estimator based on the properties of human motion perception

Yung-Sheng Chen, I-San Choa

Proceedings Volume 4553, (2001) https://doi.org/10.1117/12.441606

KEYWORDS: Motion estimation, Point spread functions, Image processing, Hough transforms, Human vision and color perception, Visualization, Spatial frequencies, Electrical engineering, Data processing, Motion models

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Proceedings Article | 21 September 2001 Paper

Extraction and estimation of facial expression by means of wavelet decomposition and active shape template

Yung-Sheng Chen, Hang-Ping Kuo

Proceedings Volume 4550, (2001) https://doi.org/10.1117/12.441491

KEYWORDS: Wavelets, Databases, Light sources, Facial recognition systems, Head, Feature extraction, Image processing, Wavelet transforms, Nose, Mahalanobis distance

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Proceedings Article | 21 September 2001 Paper

Approach to extracting the human body framework from a color image

Yung-Sheng Chen, Shu-Shu Chiu

Proceedings Volume 4550, (2001) https://doi.org/10.1117/12.441460

KEYWORDS: Image segmentation, Skin, Facial recognition systems, Feature extraction, Image information entropy, Machine vision, Computer vision technology, Analytical research, Image processing, Electrical engineering

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Proceedings Article | 21 April 1995 Paper

Design of a linguistic feature space for quantitative color harmony judgment

Yu-Chuan Shen, Yung-Sheng Chen, Wen Hsing Hsu

Proceedings Volume 2501, (1995) https://doi.org/10.1117/12.206734

KEYWORDS: Color vision, Image processing, Electrical engineering, Calibration, Databases, Color image processing, Scanners, Environmental monitoring, Computer programming, Transparency

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Proceedings Article | 21 April 1995 Paper

Space-associated segmentation for multiforeground/background images

Yu-Chuan Shen, Yung-Sheng Chen, Wen Hsing Hsu

Proceedings Volume 2501, (1995) https://doi.org/10.1117/12.206735

KEYWORDS: Image segmentation, Electrical engineering, Algorithm development, Image processing, Image processing algorithms and systems, Visualization

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Showing 5 of 18 publications

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