首页    期刊浏览 2025年06月05日 星期四
登录注册

文章基本信息

  • 标题:Infrared Image Edge and Texture Analysis Method based on Visual Habit
  • 本地全文:下载
  • 作者:Yu Tian-he ; Yu Xiao-yang ; Dai Jing-min
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2016
  • 卷号:9
  • 期号:10
  • 页码:179-186
  • 出版社:SERSC
  • 摘要:The general edge extraction algorithm is not ideal to process infrared images, which is low contrast and blurred edge. In this paper, we used the multi-fractal spectrum to edge of infrared image. We extracted the edge information of the image and calculate the measure and fractal spectrum with multiple singular values of each pixel. Analysis of the similarities and differences of multiple measure, the function in edge extraction, meanwhile, analyzed the fiction of fractal characteristics to edge image extraction. This method differs from the traditional gradient algorithm,It determines whether the edge or not just according to the local extreme points , but according to the pixels in the local and global relationships to determine whether the pixel is a real edge. It can neglect important edge pixel and texture pixel,which is more in line with the human visual mental. It provide a good reference for recognition of infrared image and further processing.
  • 关键词:multi-fractal; edge detection; infrared image
国家哲学社会科学文献中心版权所有