Performant Retrieval Image using Rectangular Mask and Combination of Color, Texture and Shape Descriptors
Nawal Chifa1, Abdelmajid Badri2, Yassine Ruichek3

1Nawal Chifa, Electronics Electrothecnic Automatic and information
Processing laboratory, Faculty of Sciences Mohammedia, Morocco.
2Abdelmajid Badri Electronics Electrothecnic Automatic and information Processing laboratory, Faculty of Sciences Mohammedia, Morocco..
3Yasine Ruichek, CIAD Lab, UBFC, University of technology of
Belfort-Montbeliard, France.

Manuscript received on 18 August 2019. | Revised Manuscript received on 26 August 2019. | Manuscript published on 30 September 2019. | PP: 301-307 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4143098319/19©BEIESP | DOI: 10.35940/ijrte.C4143.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The evolution of computer technologies has led to the growth of digital images, which has made the search for similar images in this volume of data a very important research component. Since several works have proposed image search systems entitled CBIR (Content-Based Image Retrieval). This paper presents a new and powerful method for creating CBIR in order to improve the accuracy of search through visual content. The originality of our method lies in its invariance to the rotation of images queries. She consists of applying rectangular masks of different size on the image, and extracting the color descriptor from the visible region on the mask, and then combining the result descriptor to the Uniform Local Binary Pattern (ULBP) texture features and add canny edge features. We compare the query features to the extract ones, using metric distance. We evaluate our techniques using Corel1K and Ukbench dataset. The average precision measured gives good results comparing to the others existing retrieval systems.
Index Terms: Rotation-invariant, HSV Color descriptor, Uniform Local Binary Pattern ULBP, Canny edge, rectangular mask, CBIR Content-based Image Retrieval.

Scope of the Article: