文章基本信息

标题：Comparative Analysis of Threshold Based, K-means and Level Set Segmentation Algorithms
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作者：Rajeshwar Dass ; Vikash
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：1
页码：93-95
语种：English
出版社：Ayushmaan Technologies
摘要：Image segmentation algorithms provide a mean to segment the images of different formats. The beauty of an algorithm lies within the quality of segmentation it performs. The large number of segmentation algorithms are available, analysis of algorithms is emerging as an interesting field. A number of algorithms are available for segmenting an image but there is not a single algorithm which performs better for all applications. In this paper, the comparative analysis of level set, K-means and Thresholding based algorithms has been presented for standard Lena and Cameraman image. The performance of the algorithms measured in form of white pixel ratio and processing time.
关键词：Image Segmentation;Performance Evaluation Parameters; Processing Time;White Pixel Ratio