Abstract
Edge is in the place where image gray scale changes severely, it contains abundant image information. Image edge detection is a hot and difficult research field. Compare and analyze several classic edge detection method, aim at the advantages and disadvantages, respectively, propose a multi-scale edge detection algorithm based on the wavelet. The simulation shows the algorithm obtains an ideal effect in edge location and noise suppression.
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Acknowlegements
Project found: (1) Young teachers development and support program of Anhui Technical College of Mechanical and Electrical Engineering (project number: 2015yjzr028); (2) Anhui Province Quality Engineering Project “Exploration and Practice of Innovative and Entrepreneurial Talents Training Mechanism for Applied Electronic Technology Specialty in Higher Vocational Colleges” (project number: 2016jyxm0196); (3) Anhui Quality Engineering Project “Industrial Robot Virtual Simulation Experimental Teaching Center” (project number: 2016xnzx007).
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Sun, Q. (2020). A Wavelet Based Edge Detection Algorithm. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_13
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DOI: https://doi.org/10.1007/978-981-13-6504-1_13
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