Brightness and color are two basic visual features of the human visual system. In the retina, color-sensitive cells are sensitive to brightness and color information and exhibit salient direction selectivity. However, evidence from neurobiology indicates that apart from color features, the rod and cone cells of the retina are also sensitive to high or low luminance, respectively termed the light and dark adaptation mechanisms. Classical single-opponent and color-opponent contour detection model frameworks include the computational processes of single red (R), green (G), blue (B) and yellow (Y) channels and opponent R–GB–Y channels, respectively. Thus, to combine luminance cues and traditional color cues to improve boundary detection in natural scenes, we propose the use of a dark and a light channel to simulate light and dark adaptation mechanisms. The results of the proposed model considering three datasets (BSDS300, BSDS500, NYUD) demonstrate an improvement compared with current bio-inspired contour detection models.
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The authors appreciate the anonymous reviewers for their helpful and constructive comments on an earlier draft of this paper.
This work was supported by the National Natural Science Foundation of China (Grant no. 61866002), the Guangxi Natural Science Foundation (Grant no. 2018GXNSFAA138122 and Grant no. 2015GXNSFAA139293), the Innovation Project of Guangxi Graduate Education (Grant no. YCSW2018203), and the Innovation Project of GuangXi University of Science and Technology Graduate Education (Grant No. GKYC201706 and Grant no. GKYC201803), and 2018 Guangxi Middle and Young Teachers 'Basic Capacity Improvement Project (Project no. 2018KY0875). The funders had no role in the study design; in the collection, analysis, or interpretation of data; in the writing of the report; or in the decision to submit the article for publication.
The authors declare that they have no conflicts of interest.
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Chuan Lin, Zhao, H. & Cao, Y. Improved Color Opponent Contour Detection Model Based on Dark and Light Adaptation. Aut. Control Comp. Sci. 53, 560–571 (2019) doi:10.3103/S0146411619060075
- contour detection
- color opponent
- visual system