Enhanced Hybrid Algorithms for Compound Image Segmentation

被引：0
|
作者：
Banupriya, D. [1 ]
Sundaresan, M. [1 ]
机构：
[1] Bharathiar Univ, Dept Informat Technol, Coimbatore 641014, Tamil Nadu, India
来源：
2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM) | 2015年
关键词：
Compound Image; Object Based; Saliency Map; Segmentation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Image segmentation divides the image into different regions. Accurate segmentation of objects of interest in an image gently facilitates further analysis of the objects. There are three compound image segmentation methods for compound image compression which are object based, layer based and block based segmentation. This paper discusses about six segmentation methods which are object based, block based, layer based, Hybrid Model1(Block + Layer), Hybrid Model2(Layer + Object) and Hybrid Model3(Block + Object). In this paper two hybrid models are proposed for segmenting compound images. The proposed hybrid models results are compared with the existing segmentation methods.
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页码：672 / 676
页数：5
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