Image Retrieval based on Multi-features using Fuzzy Set

Azimi Hemat, M.; Shamsezat Ezat, F.; Kuchaki Rafsanjani, M.

doi:10.22044/jadm.2022.11876.2337

Document Type : Original/Review Paper

Authors

¹ Department of Computer Engineering and Information Technology, Payame Noor University, Iran.

² Department of Computer Science, Faculty of Mathematics and Computer, Fasa University, Fasa, Iran.

³ Department of Computer Science, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran .

https://doi.org/10.22044/jadm.2022.11876.2337

Abstract

In content-based image retrieval (CBIR), the visual features of the database images are extracted, and the visual features database is assessed to find the images closest to the query image. Increasing the efficiency and decreasing both the time and storage space of indexed images is the priority in developing image retrieval systems. In this research, an efficient system is proposed for image retrieval by applying fuzzy techniques, which are advantageous in increasing the efficiency and decreasing the length of the feature vector and storage space. The effect of increasing the considered content features' count is assessed to enhance image retrieval efficiency. The fuzzy features consist of color, statistical information related to the spatial dependency of the pixels on each other, and the position of image edges. These features are indexed in fuzzy vector format 16, 3, and 16 lengths. The extracted vectors are compared through the fuzzy similarity measures, where the most similar images are retrieved. To evaluate the proposed systems' performance, this system and three other non-fuzzy systems where fewer features are of concern were implemented. These four systems are tested on a database containing 1000 images, and the results indicate improvement in the retrieval precision and storage space.

Keywords

20.1001.1.23225211.2022.10.4.11.5

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Journal of AI and Data Mining

Image Retrieval based on Multi-features using Fuzzy Set

References

References

Volume 10, Issue 4
November 2022
Pages 569-578

Image Retrieval based on Multi-features using Fuzzy Set

References

References

Volume 10, Issue 4November 2022Pages 569-578

Volume 10, Issue 4
November 2022
Pages 569-578