Content-Based Image Retrieval by Segmentation and Clustering

被引：0
|
作者：
Lonarkar, Vishal [1 ]
Rao, Ashwath B. [1 ]
机构：
[1] Manipal Univ, Manipal Inst Technol, Dept Comp Sci, Manipal, Karnataka, India
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS (ICICI 2017) | 2017年
关键词：
CBIR; GLCM; HSV; 3D Histogram; Colour moment; Segmentation; K-means clustering; Texture;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents an approach for content-based image retrieval of both texture and non-texture images. With the growth of the number of images in digital format, modern image retrieval systems employ content-based image retrieval Our system uses automated segmentation technique followed with region based feature extraction. The system employs clustering of images to speed up the retrieval process. The proposed system achieved an accuracy of 97.56%. The result demonstrate that the searching of an image is fast and accurate.
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页码：771 / 776
页数：6
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