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边界连接算法探测尿沉渣管形边界
引用本文:丛培盛,陈博,朱仲良. 边界连接算法探测尿沉渣管形边界[J]. 同济大学学报(自然科学版), 2005, 33(7): 957-960
作者姓名:丛培盛  陈博  朱仲良
作者单位:同济大学,化学系,上海,200092
基金项目:同济大学理科科技发展基金资助项目
摘    要:图像的边缘信息是图像分割的重要基础.在图像噪音较小的情况下,经典边界算子可以得到较好的处理结果.但是在处理噪音较大的图像时,经典算子就难以满足要求了.在经典算子的基础上,结合边界跟踪和曲线拟合的理论,得到了能较好处理一般质量图像边界的算法.将该算法应用于模拟图像和实际尿沉渣图像管形边界的探测,比较准确地得到了对象的连续边界。

关 键 词:边缘探测 边界连接 边界拟合
文章编号:0253-374X(2005)07-0957-04

Edge Connecting Arithmetic for Urine Deposit Tube Detecting
CONG Pei-Sheng,CHEN Bo,ZHU Zhong-liang. Edge Connecting Arithmetic for Urine Deposit Tube Detecting[J]. Journal of Tongji University(Natural Science), 2005, 33(7): 957-960
Authors:CONG Pei-Sheng  CHEN Bo  ZHU Zhong-liang
Abstract:The information about the edge of an image is the important base for image segmentation.Classical edge operator can get good result when there is less noise.But if there is much noise,the result of classical edge operator is unsatisfactory.On the basis of classical edge operator theory and combined with edge tracking and curve fitting theory we developed an algorithm which can deal with the edge of ordinary quality image bet- ter.Finally we apply the improved algorithm on urine deposit image and simulated image for edge detecting,and more accurate continuous edge of the object is obtained.
Keywords:edge detect  edge connect  edge fit  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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