Abstract
With enormous development in diverse kinds of images through electronic communication networks, it becomes a demanding chore to retrieve the efficient result from a wide collection of images. CBIR i.e. content based image retrieval answers the problem as it selects visual image contents or features to deal with images. Since images are represented by certain features to facilitate accurate retrieval of the required images here this article proposed a method to extract certain features from the image based on color, texture, and shape. This paper has proposed an approach named as weighted edge matching information retrieval (WEMIR) to perform content based image retrieval. It is a fusion approach to extract the color, texture and shape features from images. With the single feature extraction, acceptable outcomes are not formed. Hence multi-feature extraction is developed to perform retrieval of images. To extract the color feature, the higher order of confined mean is used to improve the lower contrast to gain high contrast. To extract the texture features multi optimization techniques are used and for shape feature extraction weighted edge matching technique is used. Pixel content is extracted from each image present in the database as well as for the test image provided. Based on the proposed method WEMIR the optimal features are obtained for query and image database. By using image distance measure corresponding images are retrieved from the database. The competence of the proposed WEMIR is measured using precision and recall. The proposed method shows better retrieval results while compared with the traditional methods.
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Tamilkodi, R., Nesakumari, G.R. A novel framework for retrieval of image using weighted edge matching algorithm. Multimed Tools Appl 80, 19625–19648 (2021). https://doi.org/10.1007/s11042-020-10452-0
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DOI: https://doi.org/10.1007/s11042-020-10452-0