Adaptive Edge Detection Method Based on Tsallis Entropy of Infrared Image

LIU Ya-jun

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Adaptive Edge Detection Method Based on Tsallis Entropy of Infrared Image

更新时间：2026-09-04

- Adaptive Edge Detection Method Based on Tsallis Entropy of Infrared Image
- Vol. 28, Issue 7, Pages: 21-23(2011)
- 作者机构：
  
  中国科学院机构长春光学精密机械与物理研究所,吉林,长春,130033
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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刘岩俊. 基于Tsallis熵的自适应红外图像边缘检测方法[J]. 微电子学与计算机, 2011, 28(7): 21-23.

LIU Ya-jun. Adaptive Edge Detection Method Based on Tsallis Entropy of Infrared Image[J]. 2011, 28(7): 21-23.
刘岩俊. 基于Tsallis熵的自适应红外图像边缘检测方法[J]. 微电子学与计算机, 2011, 28(7): 21-23. DOI：

LIU Ya-jun. Adaptive Edge Detection Method Based on Tsallis Entropy of Infrared Image[J]. 2011, 28(7): 21-23. DOI：

摘要

针对红外图像边缘检测这一难题

结合红外图像的特点

提出了基于Tsallis熵的自适应红外图像边缘检测方法.该方法分别计算图像子空间的边缘与非边缘的Tsallis熵

根据子空间最优Tsallis熵

构造出子空间最佳阈值的评价函数

根据评价函数

选择不同方向的边缘检测模板

增强了图像的边缘信息

从而避免了单一模板造成的边缘丢失现象.实验结果表明

与传统的边缘检测方法相比

该方法对于红外图像可以最大程度上抑制噪声

有效地提高图像的边缘检测效果.

Abstract

Pointing at the difficulty in the edge detection of infrared image

the characteristics of the infrared image and its gradient image are analyzed

a daptive edge detecting algorithm based on Tsallis entropy of infrared image is proposed. This method computes the Tsallis entropy of edge and non-edge of 1ocal-image differently.based on the best Tsallis entropy of local image

a evaluation function is proposed.Based on the evaluation

the different structure of edge detecting is selected

the image edge information is enhanced

and avoids the edge missing.Experiment results show that

compared with the traditional edge detecting method

this method decreases the noise of infrared image as possible as it can and enhances image edge.

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