International Journal of Applied Mathematics and Machine LearningAuthor's: Yuan Wang, Zhaoquan Cheng, Qirui Xiao, Zhiguo An, Zhengxin Guan and Jianqiang Gao
Pages: [1] - [11]
Received Date: July 02, 2025
Submitted by:
DOI: http://dx.doi.org/10.18642/ijamml_7100122318
This paper presents a comprehensive study on edge enhancement
techniques in digital image processing, focusing on the implementation
and comparison of Sobel and Canny edge detection operators. Through
MATLAB-based experiments, we demonstrate various edge enhancement
methods including direct edge superposition and unsharp masking. The
effects of different weight coefficients in edge enhancement are
systematically analyzed, Quantitative results show Canny-based
enhancement achieved 23% higher edge retention than Sobel at
(PSNR = 28.7dB, SSIM = 0.92), providing
practical insights for medical imaging and remote sensing
applications.
edge detection, image enhancement, Sobel operator, Canny operator, MATLAB implementation.
