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基于改进蚁群算法的CT图像边缘检测方法研究
引用本文:张景虎,郭敏,王亚文. 基于改进蚁群算法的CT图像边缘检测方法研究[J]. 计算机应用, 2008, 28(5): 1236-1239
作者姓名:张景虎  郭敏  王亚文
作者单位:陕西师范大学,计算机科学学院,西安,710062;曲阜师范大学,物理工程学院,山东,曲阜,273165;陕西师范大学,计算机科学学院,西安,710062;西安工业大学,计算机科学与工程学院,西安,710032
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
文章编号:1001-9081(2008)05-1236-04
收稿时间:2007-11-13
修稿时间:2007-11-13

Research of CT image edge detection based on improved ant colony algorithm
ZHANG Jing-hu,GUO Min,WANG Ya-wen. Research of CT image edge detection based on improved ant colony algorithm[J]. Journal of Computer Applications, 2008, 28(5): 1236-1239
Authors:ZHANG Jing-hu  GUO Min  WANG Ya-wen
Affiliation:ZHANG Jing-hu1,2,GUO Min1,WANG Ya-wen3(1.College of Computer Science,Shaanxi Normal University,Xi'an Shaanxi 710062,China,2.College of Physics , Engineering,Qufu Normal University,Qufu Sh,ong 273165,3.College of Computer Science , Engineering,Xi'an Technological University,Xi'an Shaanxi 710032,China)
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.
Keywords:Ant Colony Algorithm(ACA)  edge detection  CT image
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