Content-Based Image Retrieval by Segmentation and Clustering

Lonarkar, Vishal and Rao, Ashwath B (2016) Content-Based Image Retrieval by Segmentation and Clustering. In: International Conference on Inventive Computing and Informatics, 23/11/2017, Coimbatur, Tamilnadu.

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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

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: CBIR; GLCM ; HSV; 3D Histogram; Colour moment; Segmentation ;K-means clustering; Texture
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 09 Dec 2017 10:24
Last Modified: 09 Dec 2017 10:24

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