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Whoi-Yul Kim
Researcher at Hanyang University
Publications - 188
Citations - 3004
Whoi-Yul Kim is an academic researcher from Hanyang University. The author has contributed to research in topics: Image retrieval & Image processing. The author has an hindex of 26, co-authored 186 publications receiving 2782 citations. Previous affiliations of Whoi-Yul Kim include SK Hynix & Electronics and Telecommunications Research Institute.
Papers
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Journal ArticleDOI
A region-based shape descriptor using Zernike moments
Whoi-Yul Kim,Yong-Sung Kim +1 more
TL;DR: The experimental results conducted on a database of about 6,000 images in terms of exact matching under various transformations and the similarity-based retrieval show that the proposed shape descriptor is very effective in representing shapes.
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Hydrochromic conjugated polymers for human sweat pore mapping
Joosub Lee,Minkyeong Pyo,Sang Hwa Lee,Jaeyong Kim,Moonsoo Ra,Whoi-Yul Kim,Bum Jun Park,Chan Woo Lee,Jong-Man Kim +8 more
TL;DR: A sensor system that undergoes a brilliant blue-to-red colour transition as well as ‘Turn-On’ fluorescence upon exposure to water is reported that has the potential of serving as new method for fingerprint analysis and for the clinical diagnosis of malfunctioning sweat pores.
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A novel approach to the fast computation of Zernike moments
Sun-Kyoo Hwang,Whoi-Yul Kim +1 more
TL;DR: Results show the accuracy of the form for computing discrete Zernike moments and confirm that the proposed method for the fast computation of ZERNike moments is much more efficient than existing fast methods in most cases.
Journal ArticleDOI
Content-based trademark retrieval system using a visually salient feature
Yong-Sung Kim,Whoi-Yul Kim +1 more
TL;DR: A method for an automatic trademark retrieval system based on the image content, using a shape feature that dominantly affects the global shape of the trademarks is presented.
Journal ArticleDOI
A novel two stage template matching method for rotation and illumination invariance
Min Seok Choi,Whoi-Yul Kim +1 more
TL;DR: An algorithm for a rotation invariant template matching method based on the combination of the projection method and Zernike moments is proposed and it is proposed that the matching candidates are selected using a computationally low cost feature.