Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval :A Survey
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Summary
This paper analyzes different Content Based Image Retrieval techniques and their comparative study to improve accuracy in terms of Precision and Recall, Ant colony Edge detection algorithm and Genetic algorithm(GA) method is used in proposed model.
- Type
- article
- Published
- 2016-01-01
- Cited by
- 2
- References
- 9
- OpenAlex
- https://openalex.org/W2602624304
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:67710625
Keywords
Image retrieval, Computer science, Content-based image retrieval, Automatic image annotation, Visual Word
References
- A revised averaging algorithm for an effective feature extraction in component- Based Image Retrieval system
- A method for Content-Based Image Retrieval using visual attention model
- Content Based Image Retrieval using Color Edge Detection and Discrete Wavelet Transform
- Content Based Image Retrieval using interactive genetic algorithm
- Combination of global and local features using DWT with SVM for CBIR
- Optimization of image retrieval by using HSV color space, Zernike moment & DWT technique
- Complementary feature extraction approach in CBIR
- SIFT implemented efficient content based image retrieval system using neural network
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