Color histogram
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A Survey Over Preprocessing and Similarity Matching of Trademark Images Based on Color
Abstract: Relevant retrieval from a large high dimension data set is quite cumbersome but a significant task to survive in this world of images. A company’s trademark plays an important in expansion of its business. In this paper techniques have been discussed to retrieve the trademark images on the basis of its color feature. Color is a very important part of any image. It provides strong descriptor and also helps them …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 17–26 Read article
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A Survey on Content Based Image Retrieval Using Color, Texture and Shape Features
Abstract: Due to increase in volume of images in database, content based image retrieval becomes a challenging problem. To overcome such problems and efficient access of images from database, image retrieval uses low level features such as color, shape and texture that are prominent to retrieve the images. These features are extracted from the images. At last images are retrieved relevant to the query image from the database based on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 70–77 Read article
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Content-based Image Retrieval using SURF Feature Point Descriptor and Local Binary Pattern with Color Histogram
Abstract: An important research issue in multimedia technology is the retrieval of similar objects. Most of the content-based image retrieval (CBIR) uses the low-level features such as color, shape and texture to extract the features from the images. A short time ago, the interest points are used to extract the most relevant images with different view point and transformations. Speed up Robust Feature (SURF) is robust and fast interest points detector/descriptor …
Published in Journal of Open Source Developments · Vol. 2, Issue 2, 2015 · pp. 9–15 Read article