红外技术2017，Vol.39Issue(2)：163-167,5.
基于灰色简化B型关联度的图像边缘检测
Image Edge Detection Based on Gray Relation of Simplified B-mode
摘要
Abstract
Because the traditional gray edge detection algorithm on the threshold selection needs manual intervention and does not have the adaptive ability,a novel algorithm is proposed to adapt threshold to detect edges on gray images based on the gray correlation degree of simplified B-mode.At first,the gray-scale value of image is preprocessed by using the standard deviation of matrix operator.Secondly,in the 3 × 3 pixels template,the pretreatment gray-scale values of nine nearby pixels is converted to one dimensional data which acts as comparative sequence.Moreover,the mean of those nine pixels acts as referenced sequence.At last,the gray correlation degree of simplified B-mode of incidence between them was calculated,which is the basis of image edge detection.For images with great gray variation,the experimental results show that the proposed algorithm not only has strong adaptability,is able to clearly and accurately detect the edge,but also can effectively restrain noise more than several classical Deng interrelatedness edge detection algorithms.关键词
边缘检测/简化B型关联度/矩阵算子/灰度图像/迭代算法Key words
edge detection/correlation degree of simplified B-mode/matrix operator/gray image/iterative algorithm分类
信息技术与安全科学引用本文复制引用
李会鸽,韩跃平,郭静..基于灰色简化B型关联度的图像边缘检测[J].红外技术,2017,39(2):163-167,5.基金项目
国家自然科学基金(61171178,61171179) （61171178,61171179）
山西省自然科学基金(2012011010-3) （2012011010-3）
2012年山西省高等学校优秀学术带头人支持计划. （）
