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Alternative TitleGray Level Extraction Method for Image Segmentation
张承宁; 赵明扬; 罗海波
Source Publication小型微型计算机系统
Indexed ByCSCD
Contribution Rank1
Funding Organization江苏省自然科学基金项目(BK2011453)资助;; 沈阳市国际科技合作项目(F10-236-6-00)资助
Keyword图像分割 直方图 灰度级 聚类
Other AbstractTraditional threshold segmentation method relies on the analysis of the histogram of an image,an optimal threshold is obtained through a specified optimization algorithm with respect to the histogram,then the segmentation result is achieved. This methodology regards the optimal histogram analysis as the best image segmentation. However,a histogram merely supplies the statistical information of the gray level rather than the spatial relationship among them,thus,the threshold based segmentation probably leads to segmentation failure,and then,the investigation on the spatial relationship among gray levels is necessary in order to complete the segmentation task. This paper presents a spatial estimation of gray levels using hierarchical clustering techniques,and builds a relation between cluster numbers and cluster distances to determine optimal cluster number,then extracts and combines the neighborhood gray levels,and finally gives the segmentation result. Comparison between the proposed method and threshold based method is conducted, the experiment shows that the given method prevails and more comfortable results can be obtained.
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Document Type期刊论文
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GB/T 7714
张承宁,赵明扬,罗海波. 一种灰度级抽取的图像分割方法研究[J]. 小型微型计算机系统,2013,34(8):1891-1895.
APA 张承宁,赵明扬,&罗海波.(2013).一种灰度级抽取的图像分割方法研究.小型微型计算机系统,34(8),1891-1895.
MLA 张承宁,et al."一种灰度级抽取的图像分割方法研究".小型微型计算机系统 34.8(2013):1891-1895.
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