Said, Lal and Khurshid, Khurram and Aman, Asia (2018) Using Co-occurrence and Granulometry Features for Content Based Image Retrieval. EAI Endorsed Transactions on Scalable Information Systems.
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Abstract
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
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 11:17 |
| Last Modified: | 12 Apr 2026 07:28 |
| URI: | http://eprints.eai.eu/id/eprint/18015 |
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