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Hue-based Noise-tolerant Corner Detector Robust to Shadows  

박기현 (경북대학교 대학원 전자공학과)
박은진 (경북대학교 대학원 전자공학과)
최흥문 (경북대학교 전자전기컴퓨터학부)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.6, 2004 , pp. 239-245 More about this Journal
Abstract
A hue-based noise-tolerant corner detector is proposed for the exact detection of the real corners in spite of the shadows and random noise. Based on the fact that the hue gradient at the border of the opaque objects' shadow is smaller than the intensity gradient in HSI (hue-saturation-intensity) color space, the effects of shadow are eliminated by introducing the hue-weighted combination of vector gradient to the proposed corner detector. Furthermore, the proposed corner detector is robust to random noise by offsetting the contribution to the corner candidate when the polarities of the color gradients of the pixel pairs are out of phase each other. Results of the experiment show that the proposed corner detector can effectively detect the real corners.
Keywords
Corner detector; hue-weighted combination of vector gradient;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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