A Survey Over Similarity Matching of Trademark Images Based on Color
نویسندگان
چکیده
Content Based Image Retrieval (CBIR) is a set of methods for retrieving related images from an image dataset based on the image features. In the retrieval system, features recognition is the main phase of the system. One of the most important features visually recognized by humans in images is color. A company’s trademark plays an important in expansion of its business. Color is a very important part of any image. It provides strong descriptor and also helps them to distinguish between two images. Therefore, many techniques have been explained thoroughly in this paper to describe the color features and their advantages and disadvantages. In this paper, comprehensive review of various techniques has been discussed to retrieve the trademark images on the basis of its color feature. We have studied various methods of CBIR and presented some basics for review. KeywordsCBIR, Color features, Color descriptor.
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