Journal of Computer Applications

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Research of CT image edge detection based on improved ant colony algorithm

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  • Received:2007-11-13 Revised:2008-01-07 Online:2008-05-01 Published:2008-05-01
  • Contact: Jingh-Hu ZHANG

基于改进蚁群算法的CT图像边缘检测方法研究

张景虎 郭敏 王亚文   

  1. 陕西师范大学计算机科学学院;曲阜师范大学物理工程学院 陕西师范大学计算机科学学院
  • 通讯作者: 张景虎

Abstract: Ant Colony Algorithm(ACA) was applied in CT image edge detection and a new method of CT image edge detection based on ant colony algorithm was proposed. In order to improve the efficiency of algorithm, detection accuracy and adaptability to various CT images, the basic ant colony algorithm was modified by applying different transfer principles and pheromone updating rules in accordance with different contents of CT image. The computer experiments demonstrate the effectiveness of the proposed algorithm, which satisfies the demand of 3D reconstruction of CT image.

Key words: Ant Colony Algorithm(ACA), edge detection, CT image

摘要: 将蚁群算法(ACA)应用于CT图像边缘检测领域,提出一种新的CT图像边缘检测方法。为了提高检测效率、精确度和对各类CT图像的适应性,对蚁群算法进行了改进,并针对图像中的不同内容采取不同的转移策略和信息素更新规则。实验结果表明了该算法的有效性,满足了CT图像三维重建的需求。

关键词: 蚁群算法, 边缘检测, CT图像