苏州科技大学学报（自然科学版）2018，Vol.35Issue(2)：68-72,5.DOI:10.12084/j.issn.2096-3289.2018.02.013
一种自适应增强图像纹理的边缘检测方法
An adaptive image enhancement algorithm for edge detection
摘要
Abstract
Edge extraction is an important part of image preprocessing. In this paper, we discussed an edge detection method based on adaptive texture enhancement operator. First, we distinguished the image flat region and sharp corner region through the image gradient fluctuation. Second, we enhanced the image texture based on gradient constraint and reduced image noise based on data constraint. Finally, the edge points were selected through an iterative algorithm to calculate the optimal threshold value. Preliminary numerical results show that the proposed method can effectively remove image noise and have a better effect of image edge preservation.关键词
边缘检测/图像梯度/图像增强/图像去噪Key words
edge detection/image gradient/image enhancement/image denoising分类
数理科学引用本文复制引用
王振华,胡伏原,吕凡,夏振平..一种自适应增强图像纹理的边缘检测方法[J].苏州科技大学学报（自然科学版）,2018,35(2):68-72,5.基金项目
国家自然科学基金资助项目(61472267) （61472267）
