基于Spatially-Variant数学形态学的二值图像边缘检测

计算机科学 ›› 2013, Vol. 40 ›› Issue (Z11): 292-295.

基于Spatially-Variant数学形态学的二值图像边缘检测

李晓琳,邱卫根,张立臣

广东工业大学计算机学院广州510006;广东工业大学计算机学院广州510006;广东工业大学计算机学院广州510006

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受国家自然科学基金项目(61173046)资助

Binary Image Edge Detection Based on Spatially-Variant Mathematical Morphology

LI Xiao-lin,QIU Wei-gen and ZHANG Li-chen

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 结合二值图像边缘检测的需要,提出一种基于Spatially-Variant数学形态学的图像边缘检测算法。该算法使用了依像素位置而变化的Spatially-Variant (SV)结构元,使其能够依据图像细节而变化,达到自适应的效果并能有效检测图像边缘和保持边缘的平滑性。与传统边缘检测算子进行的对比实验结果表明,该算法有以下明显优点:抗噪声性能好,实时性好,非常容易实现,具有一定的实用性和可行性。

关键词: Spatially-Variant结构元,数学形态学,二值图像,边缘检测

Abstract: Based on spatially-variant mathematical morphology,a new image edge detection method was proposed in this paper to meet needs of detecting binary image edge．The proposed method constructed by the spatially variant (SV) structuring elements can achieve good adaptive effectiveness and keep the edge smoothness in the binary image edge detection． The experimental results show that compared with the traditional edge detection operators,the algorithm has the following distinct advantages:good performance of anti-noise,better real-time performance,easy to implement and a certain practicality and feasibility.

Key words: Spatially-Variant structuring element,Mathematical morphology,Binary image,Edge detection

李晓琳,邱卫根,张立臣. 基于Spatially-Variant数学形态学的二值图像边缘检测[J]. 计算机科学, 2013, 40(Z11): 292-295. https://doi.org/

LI Xiao-lin,QIU Wei-gen and ZHANG Li-chen. Binary Image Edge Detection Based on Spatially-Variant Mathematical Morphology[J]. Computer Science, 2013, 40(Z11): 292-295. https://doi.org/

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