An Algorithm of Image Edge Detection Based on Wavelet Transform

摘要

Image edge structure is often the most important feature in image processing and pattern recognition, and edge detection is mainly used to measure, detect and locate the gray level change. Wavelet analysis is a kind of multi scale edge detection method which has excellent denoising ability and complete edge detection ability. Using quadratic B-spline strip as operator, using edge detection algorithm based on wavelet analysis and dealing with the characteristics of texture image and heartbeat advantages and wavelet transform for image detail description of organic unifies in together, get the edge image quality is better.