电子学报2018，Vol.46Issue(1)：118-126,9.DOI:10.3969/j.issn.0372-2112.2018.01.017
图空间上自适应形态学算子
Adaptive Morphological Operator on Graph Space
摘要
Abstract
In order to solve the problem of fixed structure element in traditional mathematical morphology on graph space,the concept of similarity weight on graph space is put forward,and the adaptive structure graph is defined.The property of structure graph is analyzed and proved.The new adaptive morphological operator on graph space is advanced on this basis and the properties of the operator are put forward and analyzed theoretically.The new operator considers not only the local feature of image pixels but also the global features of continuous pixels.The experimental results show that the new operator is superior to existing color morphology in maintaining integrity and correlation of the image information,and can select threshold value and structure element according to the characteristics of the image,thus it has a broad application prospect in more sophisticated image processing aspects.关键词
自适应形态学/图空间/结构元素/相似权/极值提取算法/阈值Key words
adaptive morphology/graph space/structure element/similarity weight/extreme extraction algorithm/threshold value分类
信息技术与安全科学引用本文复制引用
马塾亮,王俊平,邓晟,冯玉颖..图空间上自适应形态学算子[J].电子学报,2018,46(1):118-126,9.基金项目
国家自然科学基金(No.61173088) （No.61173088）
西安市产业技术创新计划(No.CX1248⑤) （No.CX1248⑤）
