Fruit-Fly optimization based feature integration in image retrieval
| Autor: | Vimal Shunmuganathan, Pavithra Latha Kumaresan, Sreesharmila Thangaswamy, Sindhia Lingaswamy, Subbulakshmi Pasupathi, Danilo Pelusi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Databases
Factual dominant color descriptor Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Information Storage and Retrieval fruit fly optimization Texture (music) Similarity measure Content-based image retrieval radial difference pattern Image (mathematics) Pattern Recognition Automated QA1-939 Image retrieval business.industry Applied Mathematics Process (computing) Pattern recognition General Medicine Computational Mathematics similarity measure Feature (computer vision) Modeling and Simulation Content (measure theory) content based image retrieval Artificial intelligence General Agricultural and Biological Sciences business Algorithms TP248.13-248.65 Mathematics Biotechnology |
| Zdroj: | Mathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 6178-6197 (2021) |
| Popis: | The content-based image retrieval (CBIR) system searches and retrieves the similar images from the huge database using the significant features extracted from the image. Feature integration techniques used in the CBIR system assign static weights to each feature involved in the retrieval process that gives a smaller number of similar images as a result. Moreover, the retrieval time of the CBIR system increases due to the entire database search. To overcome this disadvantage the proposed work introduced a two-level searching process in the CBIR system. The initial level of the proposed framework uses the image selection rule to select more relevant images for the second-level process. The second level of the framework takes the proposed dominant color and radial difference pattern details from the query and selected images. By using color and texture features of the selected images, similarity measure is calculated. The proposed work assigns optimal dynamic weight to the similarity measure of color and texture features using the fruit fly optimization algorithm. This improves the retrieval performance of the CBIR system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|