摘要
随着小波分析的发展,小波变换逐渐被运用于边缘检测,由于在多尺度分析和时频局部转化方面的优势,因此与传统傅里叶变换相比,小波变换能够更加精准地检测图像边缘信息。介绍了图像边缘检测优化算法的研究背景及发展现状,针对传统边缘检测技术的不足,主要阐述了基于小波变换的图像边缘检测,并通过仿真结果验证了图像边缘检测的优化算法的可行性。
With the development of wavelet analysis, wavelet transform is gradually applied to edge detection. Compared with traditional Fourier transform, wavelet transform can detect image edge information more accurately due to its advantages in multi-scale analysis and local time-frequency conversion. This paper mainly expounds how to detect image edge using wavelet transform, and uses the simulation results to verify the feasibility of the optimization algorithm.
引文
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