24 MODIFIED KEYWORD BASED RETRIEVAL ON FABRIC IMAGES
Keywords:
patterns, texture, fabrics, global marketAbstract
Considering diversity of patterns and texture of fabrics in the global markets, keyword-based image retrieval has gained more interest due to its efficiency. Recent researches show that the user defined keywords have not led to enough precision because of human error. These keywords should be revised before image retrieval. Therefore, success of the keyword-based image retrieval depends on the rate of correcting keywords which those are specified by user. In this paper, a method is presented for the keyword-based retrieval on fabric images to improve the user defined keywords. It is done by eliminating wrong keywords, and also adding new keywords to the fabric images. The proposed approach was implemented on 1000 images with different texture, and pattern where the results represented %91 to %100 retrieval precision.
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