A novel image edge detection algorithm based on multi-scale hybrid wavelet transform

Shanhong Xia; Minghang Li

doi:10.1117/12.2639124

15 July 2022 A novel image edge detection algorithm based on multi-scale hybrid wavelet transform

Shanhong Xia, Minghang Li

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 1225825 (2022) https://doi.org/10.1117/12.2639124
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

The classical wavelet transform in image processing is easy to lose the details, and the edge of the image is often easily disturbed by the noise which leads to poor extraction effect. In order to overcome the shortcomings of the classical image edge detection methods, an edge detection method based on multi-scale hybrid wavelet transform is proposed. A series of operations such as B-spline filter, Gaussian filter, multi-scale detection and adaptive threshold removal with pseudo-edge contour are carried out to remove the complex noise of image and to obtain the precise edge. Due to the importance of underwater image edge extraction in underwater target recognition, this method is applied to the edge detection of underwater images. The experimental results show that the method based on multi-scale hybrid wavelet transform can suppress the image noise and extract the accurate edge contour of the underwater image, which proves the effectiveness.

Citation Download Citation

Shanhong Xia and Minghang Li "A novel image edge detection algorithm based on multi-scale hybrid wavelet transform", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 1225825 (15 July 2022); https://doi.org/10.1117/12.2639124

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