K-Means clustering with adaptive threshold for segmentation of hand images

被引：0
|
作者：
Trivedi, Sheifalee [1 ]
Nandwana, Bhumika [1 ]
Khunteta, Dinesh Kumar [1 ]
Narayan, Satya [1 ]
机构：
[1] Govt Engn Coll, Dept Comp Sci, Ajmer, India
来源：
2017 7TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT) | 2017年
关键词：
K-mean; Segmentation; Thresholding; Histogram;
D O I：
10.1109/CSNT.2017.35
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
As we all know an image is an artifact that depicts visual perception. In order to extract information or modify those images we have to perform some operation on it. In this paper we present a methodology to segment hand images using modified k-means clustering with value of threshold and analysis of histogram. Experimental results show 97% accurate results so we can say proposed methodology is better then previous.
引用
收藏
页码：183 / 187
页数：5
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