Research on Contour Detection Model Based on Primary Visual Path Response Mechanism
Authors: 
Xiu Liu, Junbao Zheng, Lixian WangAuthors Info & Claims
Xiu Liu, Junbao Zheng, Lixian WangAuthors Info & ClaimsArticle No.: 17, Pages 1 - 6
Abstract
Considering the subjectivity of the contour detection task and the characteristics of the visual nerve, the traditional contour detection models simulate the surrounding suppression effect of the non-classical receptive field in the V1 area, and affect the primary contour map. This paper proposes a new model that involved the frequency domain separation characteristics and feedforward compensation in the visual pathway based on the traditional contour detection model. This paper takes the sub-high frequency part of the input images as the suppression template and combines the OTSU classification algorithm to initially determine the texture area to be suppressed. The primary contour map is fed forward to the response after multiple suppression to ensure the rapidity and completeness of the final response. Experimental results show that this model has higher performance indicators than the traditional models. While suppressing the background texture, it retains more right contours.
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Published In
December 2021
699 pages
ISBN:9781450385053
DOI:10.1145/3508546
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Published: 25 February 2022
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ACAI'21
ACAI'21: 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
December 22 - 24, 2021
Sanya, China
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Overall Acceptance Rate 173 of 395 submissions, 44%
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