| 基于蚁群算法的甲状腺结节超声图像边沿检测法 |
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| 引用本文： | 朱玲,施心陵,刘亚杰,田溪.基于蚁群算法的甲状腺结节超声图像边沿检测法[J].计算机工程,2006,32(24):178-179. |
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| 作者姓名： | 朱玲 施心陵 刘亚杰 田溪 |
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| 作者单位： | 云南大学信息学院电子工程系,昆明,650092 |
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| 摘 要： | 甲状腺结节超声图像一般较为模糊不易判断识别，该文基于蚁群算法，提出了一种新的甲状腺结节超声图像边沿检测方法。针对超声图像特点，算法对信息素及食物源的设置进行了改进，阐述了该算法，同时将检测结果与Canny算法和Sobel算法的结果进行了比较，实验证明该改进的蚂蚁算法提取出了清晰的甲状腺结节的边沿。
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| 关 键 词： | 甲状腺结节 蚁群算法 信息素 边沿检测法 |
| 文章编号： | 1000-3428（2006）24-0178-02 |
| 收稿时间： | 2005-12-23 |
| 修稿时间： | 2005-12-23 |
Edge Extraction of Thyroid Nodule in Ultrasound Images Based on Improved Ant Colony Algorithm |
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| ZHU Ling,SHI Xinling,LIU Yajie,TIAN Xi.Edge Extraction of Thyroid Nodule in Ultrasound Images Based on Improved Ant Colony Algorithm[J].Computer Engineering,2006,32(24):178-179. |
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| Authors: | ZHU Ling SHI Xinling LIU Yajie TIAN Xi |
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| Affiliation: | Department of Electronic Engineering, Information School, Yunnan University, Kunming 650092 |
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| Abstract: | The thyroid nodule in the ultrasound images is usually blur and difficult to discern and analyze.A new algorithm which is based on the ant colony algorithm(ACA) for extracting the edges of thyroid nodule in ultrasound images is presented.Taking the characters of ultrasound images into account,the method of setting up the pheromone and the food-source is developed and the algorithm is elaborated.Compared with other image segmentation algorithms,such as the Canny operator and the Sobel operator,ACA can achieve better segmentation results. |
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| Keywords: | Thyroid nodule Ant colony algorithm Pheromone Edge extraction |
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