14 December 2015 Contour detection based on brightness and contour completion
Author Affiliations +
Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98120B (2015) https://doi.org/10.1117/12.2205460
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
The further research of visual processing mechanism provides a new idea for contour detection. On the primary visual cortex, the non-classical receptive field of the neurons has the orientation selectivity exerts suppression effect on the response of classical receptive field, which influences edge or line perception. Based on the suppression property of non-classical receptive field and contour completion, this paper proposed a contour detection method based on brightness and contour completion. The experiment shows that the proposed method can not only effectively eliminate clutter information, but also connect the broken contour points by taking advantage of contour completion.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lamei Zou, Lamei Zou, Min Wan, Min Wan, Liujia Jin, Liujia Jin, Yahong Gao, Yahong Gao, Weidong Yang, Weidong Yang, } "Contour detection based on brightness and contour completion", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120B (14 December 2015); doi: 10.1117/12.2205460; https://doi.org/10.1117/12.2205460

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