Survey of image segmentation algorithm based on convolution neural network

Shaohua Li; Junyang Yu; Ke Zheng; Libo Zhang

doi:10.1117/12.2673228

14 April 2023 Survey of image segmentation algorithm based on convolution neural network

Shaohua Li, Junyang Yu, Ke Zheng, Libo Zhang

Proceedings Volume 12613, International Conference on Computer Vision, Application, and Algorithm (CVAA 2022); 1261314 (2023) https://doi.org/10.1117/12.2673228
Event: International Conference on Computer Vision, Application, and Algorithm (CVAA 2022), 2022, Chongqing, China

Abstract

Image segmentation technology is an important branch of visual understanding system, with contributing to promote the accuracy of classification. In recent years, the integration of deep learning and image processing has produced a new generation of image segmentation algorithms. Compared with traditional methods, the performance has been improved and reached high accuracy. This work mainly introduces traditional or based on deep learning and compares the performance of related algorithms. To solve the problems of existing algorithms, the future development trend is prospected.

Citation Download Citation

Shaohua Li, Junyang Yu, Ke Zheng, and Libo Zhang "Survey of image segmentation algorithm based on convolution neural network", Proc. SPIE 12613, International Conference on Computer Vision, Application, and Algorithm (CVAA 2022), 1261314 (14 April 2023); https://doi.org/10.1117/12.2673228

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