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图像分割中区域灰度重叠问题研究
引用本文:曹建农,孙承志.图像分割中区域灰度重叠问题研究[J].计算机应用,2006,26(9):2077-2080.
作者姓名:曹建农  孙承志
作者单位:长安大学,地球科学与国土资源学院,陕西,西安,710064;国家测绘局,国土测绘司,北京,100830
基金项目:国家测绘科技发展基金;国家高技术研究发展计划(863计划)
摘    要:通过对图像不同区域灰度强度重叠问题以及图像平滑与滤波概念差异的分析,发现图像平滑对于无噪声污染图像的分割具有抑制次要目标、加剧区域边界渐变的作用,认为对图像进行平滑处理可以减小区域灰度重叠,产生过渡区域便于图像中特定目标的分割。实验表明图像灰度重叠是实现正确分割的障碍,图像平滑可以消除或减弱它的影响。

关 键 词:图像平滑  图像滤波  图像分割  过渡区  灰度重叠
文章编号:1001-9081(2006)09-2077-4
收稿时间:2006-03-16
修稿时间:2006-03-162006-06-15

Study on the overlap of regional intensity ranges in image segmentation
CAO Jian-nong,SUN Cheng-zhi.Study on the overlap of regional intensity ranges in image segmentation[J].journal of Computer Applications,2006,26(9):2077-2080.
Authors:CAO Jian-nong  SUN Cheng-zhi
Abstract:This paper studied the overlap of regional intensity ranges in image segmentation, and probed into the concept difference between image smoothing and filter. It was found that image smoothing can were decrease minor objects and aggravate gradual change for segmentation. Therefore, it was thought that image smoothing could reduce the overlap of regional intensity ranges and bring out transition region for the segmentation of specific image objects. The experiments indicate that the overlap of regional intensity ranges in image is obstacle to correct image segmentation, and image smoothing can eliminate or weaken its impact.
Keywords:image smoothing  image filter  image segmentation  transition region  overlap of intensity ranges
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