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Content Based Image Retrieval Using Color Histogram


Author(s):

Pratik Nayak , SRIMCA; Himani Parekh, CGPIT

Keywords:

CBIR, image retrieval, feature extraction, color histogram, Euclidean distance

Abstract:

Traditionally, the image is retrieved using keywords, but to assign the keywords to large amount of database increase the man efforts. To avoid such situation, CBIR becomes the popular research area. In CBIR, the image is retrieved based on the content. The content of the image is determined by fetching its different features. Basically any image consists of different shapes, colors and textures. So these properties can be taken as the features of the image. One query image is given as a input and from that image, the similar images are extracted from database. In this paper, color features are extracted and compared to find the similar images from database. It is tested on different type of images. Precision and recall are used as comparison parameters to evaluate the results. Here, the precision rate is 87% and recall rate is 79%.


Other Details:

Manuscript Id :IJSTEV2I11287
Published in :Volume : 2, Issue : 11
Publication Date: 01/06/2016
Page(s): 676-679
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