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Thresholding for edge detection using human psychovisual phenomena |
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| Authors: | M.K. Kundu S.K. Pal |
| Affiliation: | 1. School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing 100083, China;2. Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China;3. Development and Research Center, China Geological Survey, Beijing 100037, China;4. Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, Ohio 44115, USA |
| Abstract: | An algorithm based on the facts of the human visual system is presented here whereby it is possible to select automatically (without human intervention) the thresholds for detecting the significant edges as perceived by human beings. The threshold value adapts with the background intensity according to the criterion governed by a characteristics of one of the De Vries-Rose, Weber's and saturated regions. The algorithm is found to provide a satisfactory improvement in the performance in the conventional edge detection process. |
| Keywords: | Human visual system edge detection adaptive thresholding |
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