1 May 2007 A rapid gradient segmentation method for edge recognition of biomedical image
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Proceedings Volume 6534, Fifth International Conference on Photonics and Imaging in Biology and Medicine; 65342W (2007) https://doi.org/10.1117/12.741438
Event: Fifth International Conference on Photonics and Imaging in Biology and Medicine, 2006, Wuhan, China
Abstract
Image edge recognition is a crucial aspect of biomedical image processing. In this paper, a rapid gradient segmentation method based on the depth-first traverse of images is presented. This method defines the data structure for the pixel firstly, estimate and catch gradient from four pixels around the arbitrary point coming from an arbitrary pixel of image. If the pixel satisfies the feature of edge, the edge perpendicular to the directions of gradient is processed by depth-first traverse, the pixels are marked at the same time. It will withdraw when no pixels satisfy the feature in the directions, then depth-first traverse from the next direction with gradient, mark the pixel as corner, and traverse the image completely. The segmentation method has been applied to edge recognition of color biomedical image and other images. The experimental results showed that edges and corners of biomedical image can be segmented obviously, and be easy to identify.
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Guan-nan Chen, Zhong-jian Teng, Kun-tao Yang, Rong Chen, "A rapid gradient segmentation method for edge recognition of biomedical image", Proc. SPIE 6534, Fifth International Conference on Photonics and Imaging in Biology and Medicine, 65342W (1 May 2007); doi: 10.1117/12.741438; https://doi.org/10.1117/12.741438
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