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논문검색

Infrared Image Edge and Texture Analysis Method based on Visual Habit

초록

영어

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.

목차

Abstract
 1. Introduction
 2. The General Characteristics of Infrared Image
 3. Multi-Fractal Image Analysis
 4. Analysis of Test Results
 5. Conclusion
 References

저자정보

  • Yu Tian-he Harbin University of Science and Technology, Harbin, China
  • Yu Xiao-yang Harbin University of Science and Technology, Harbin, China
  • Dai Jing-min Department of Automation Measurement and control Engineering, Harbin Institute of Technology, Harbin, China

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