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| 改进型Snake算法在尿沉渣图像处理中的应用 | |
| 引用本文： | 王强,张天桥,张灿龙,陈常祥,陈洪波,徐晓蓉.改进型Snake算法在尿沉渣图像处理中的应用[J].广西师范大学学报(自然科学版),2006,24(4):215-218. |
| 作者姓名： | 王强 张天桥 张灿龙 陈常祥 陈洪波 徐晓蓉 |
| 作者单位： | 1. 广西师范大学,计算机科学与信息工程学院,广西,桂林,541004 2. 广西师范大学,物理与电子工程学院,广西,桂林,541004 3. 湖南文理学院,计算机科学与技术系,湖南,常德,415000 |
| 基金项目： | 广西教育厅科研项目 , 湖南省教育厅资助项目 , 广西师范大学校科研和教改项目 |
| 摘 要： | 尿液有形成分的检查是医院的三大常规检验之一,目前迫切需要能计数有形成分的自动分析仪替代人工检验。由于尿液图像是典型的弱边缘图像,经典的边缘提取方法均不能取得良好的效果,在此介绍了一种改进型Snake算法。实验表明,采用该算法对尿液图像有形成分进行边缘提取能获得较好的效果。 |
| 关 键 词： | 尿沉渣 弱边缘图像 边缘提取 Snake算法 |
| 文章编号： | 1001-6600（2006）04-0215-04 |
| 收稿时间： | 2006-05-31 |
| 修稿时间： | 2006年5月31日 |
Modified Snake Algorithm and Application on Processing of Urinary Sediments Image |
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| WANG Qiang,ZHANG Tian-qiao,ZHANG Can-long,CHEN Chang-xiang,CHEN Hong-bo,XU Xiao-rong.Modified Snake Algorithm and Application on Processing of Urinary Sediments Image[J].Journal of Guangxi Normal University(Natural Science Edition),2006,24(4):215-218. | |
| Authors: | WANG Qiang ZHANG Tian-qiao ZHANG Can-long CHEN Chang-xiang CHEN Hong-bo XU Xiao-rong |
| Institution: | 1. College of Computer Science and Information Engineering,Guangxi Normal University,Guilin 541004,China; 2. College of Physics and Electronics Engineering, Guangxi Normal University,Guilin 541004,China ;3, Department of Computer Science and Technology,Hunan University of Arts and Science,Changde 415000,China |
| Abstract: | The inspection of the tangible components in the urine is one of three most important common methods of inspection.At present,the automatic analyzer to count tangible components is urgently needed to replace the manual inspection.Because the urine image is a kind of typical weak-edge image,the classical methods to detect the edge can't work excellently.In this paper,a modified Snake algorithm is proposed.The result of the experiment shows that the modified Snake algorithm in this paper is very effective in detecting the edge of the tangible components in the urine image. |
| Keywords: | urinary sediments weak-edge image edge detection Snake algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |