期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：12
页码：3255-3269
出版社：Journal of Theoretical and Applied
摘要：Image indexing and retrieval became an interesting field of research nowadays due to the lack of advanced methodologies to index and retrieve images and to the existence of huge quantities of images available everywhere; especially on the web. The available solutions are able to find similar items having the exact shape but not the same item if it has a different shape. In this paper, we propose cloning the human being visual perception and cognitive learning to recognize, index and retrieve images. In Computer Vision, Mesh data structure is used for its capacity of neighboring, therefore Mesh data structure will be used for the fact that human being groups objects in categories where neighboring is essential for indexing and retrieval. The proposed methodology is intelligent in the way that retrieving images lead into an insertion of the searched image. In addition to that the proposed solution will be able to recognize items having different shape from their features.
关键词：Image; Indexing And Retrieval; Visual Perception; Cognitive Learning; Shape
