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基于贪婪Snake模型与多尺度分析的图像分割
引用本文:张庆,武仲科,周明全,王醒策,徐丰.基于贪婪Snake模型与多尺度分析的图像分割[J].北京师范大学学报(自然科学版),2011,47(1):40-43.
作者姓名:张庆  武仲科  周明全  王醒策  徐丰
作者单位:北京师范大学信息科学与技术学院,100875,北京
基金项目:国家自然科学基金资助项目,北京市自然科学基金
摘    要:为了准确分离目标区域,提出了一种基于贪婪Snake与多尺度图像增强相结合的新的轮廓分离模型.首先对输入的图像给定一个初始轮廓,然后应用多尺度分析进行图像增强,之后在不同的尺度中运用贪婪Snake模型进行轮廓的分离,最终分离出理想的目标轮廓.实验证明该方法提高了分割的精度.

关 键 词:图像分割  Snake模型  多尺度图像增强

IMAGE SEGMENTATION BASED ON GREEDY SNAKE AND MUTI-SCALE ANALYSIS
ZHANG Qing WU Zhongke ZHOU MingquanWANG Xingce XU Feng.IMAGE SEGMENTATION BASED ON GREEDY SNAKE AND MUTI-SCALE ANALYSIS[J].Journal of Beijing Normal University(Natural Science),2011,47(1):40-43.
Authors:ZHANG Qing WU Zhongke ZHOU MingquanWANG Xingce XU Feng
Affiliation:ZHANG Qing WU Zhongke ZHOU MingquanWANG Xingce XU Feng(College of Information Science and Technology,Beijing Normal University,100875,Beijing,China)
Abstract:Image segmentation is an important issue in the field of imaging and image processing.In order to separate target area accurately,a new method was proposed based on greedy Snake and muti-scale analysis to separate contour.An initial contour was given,image was enhanced by muti-scale analysis.The contour was then separated using the greedy snake model on different scales,to obtain an ideal contour.Experiments showed that this method improved segmentation accuracy.
Keywords:image segmentation  Snake model  muti-scale analysis  
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