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- Title
MULTILEVEL APPROACH OF CBIR TECHNIQUES FOR VEGETABLE CLASSIFICATION USING HYBRID IMAGE FEATURES.
- Authors
Latha, D.; Vetha Raj, Y. Jacob; Sathik, M. Mohamed
- Abstract
CBIR is a technique to retrieve images semantically relevant to query image from an image database. The challenge in CBIR is to develop a method that should increase the retrieval accuracy and reduce the retrieval time. In order to improve the retrieval accuracy and runtime, a multilevel CBIR approach is proposed in this paper. In the first level, the color attributes like mean and standard deviations are proposed to calculate on HSV color space to retrieve the images with minimum disparity distance from the database. In order to minimize search area, in the second level Local Ternary Pattern is proposed on images which were selected from the first level. Experimental results and comparisons demonstrate the superiority of the proposed approach.
- Subjects
CONTENT-based image retrieval; MATRIX analytic methods; INTERNET access control
- Publication
ICTACT Journal on Image & Video Processing, 2016, Vol 6, Issue 3, p1174
- ISSN
0976-9099
- Publication type
Article
- DOI
10.21917/ijivp.2016.0171