Using Co-occurrence and Granulometry Features for Content Based Image Retrieval

Using Co-occurrence and Granulometry Features for Content Based Image Retrieval

This communication presents a novel system for Content Based Image Retrieval (CBIR) using Granulometry and Color Co-occurrence Features (CCF). These features are extracted directly from images using visual codebook. Relative distance measures are used to identify the similarity between the stored im...

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Bibliographic Details
Main Authors: Lal Said, Khurram Khurshid, Asia Aman
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2018-04-01
Series:EAI Endorsed Transactions on Scalable Information Systems
Subjects:
Granulometry Features
CCF
Content Based Image Retrieval
Online Access:http://eudl.eu/doi/10.4108/eai.13-4-2018.154479

Internet

http://eudl.eu/doi/10.4108/eai.13-4-2018.154479

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