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Xu Chen

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Proceedings Article | 10 October 2023 Paper

Research and implementation of image edge detection based on Db4 wavelet transform

Donghui Li, Wei Yuan, Xu Chen, Xuehui Guan, Dayu Liu

Proceedings Volume 12799, 127994W (2023) https://doi.org/10.1117/12.3006021

KEYWORDS: Edge detection, Wavelet transforms, Wavelets, Image processing, MATLAB, Detection and tracking algorithms

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Wavelet transform is a new time - frequency domain analysis tool after Fourier transform. Wavelet analysis has very important applications in image processing, including image compression, image denoising, image fusion, image decomposition and image enhancement and so on almost all stages of image processing. By comparing several edge detection methods and combining the multi-scale characteristics of wavelet transform, the approximate coefficient and high frequency coefficient of wavelet transform decomposition are processed, and an image edge detection algorithm based on wavelet transform is proposed. In the MATLAB environment, firstly, taking an image as an example, Roberts operator, Sobel operator, Prewitt operator and Canny operator are compared to verify that Canny operator has better performance in edge location. Then the db4 wavelet is applied to this image and the other two images, the image is decomposed and reconstructed, and the Canny operator is used for edge detection. The simulation results show that the edge details extracted by this method are more abundant.

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