28 April 2010 Human visual system-based edge detection using image contrast enhancement and logarithmic ratio
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Abstract
In this paper, we introduce a human visual system (HVS)-based edge detection algorithm. The introduced algorithm integrates image enhancement, edge detection and logarithmic ratio filtering algorithms to develop an effective edge detection method. Also a parameter (â) is introduced to control the level of detected edge details and functions as a primary threshold parameter. The introduced algorithm functions in tracking and segmenting significant dark gray levels in an image. Simulation results have shown the effectiveness of the introduced algorithm compared to other traditional methods such as Canny's algorithm in preserving object's topology and shape. The developed algorithm functions at various applications where measurements and segmentation of dark gray level spots for classification and tracking purposes are required such as road cracks, lunar surface images, and remote objects.
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Ali Almuntashri, Ali Almuntashri, Sos Agaian, Sos Agaian, } "Human visual system-based edge detection using image contrast enhancement and logarithmic ratio", Proc. SPIE 7708, Mobile Multimedia/Image Processing, Security, and Applications 2010, 770813 (28 April 2010); doi: 10.1117/12.849609; https://doi.org/10.1117/12.849609
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