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—In this paper, we propose a content-based image retrieval method based on an efficient combination of multiresolution color and texture features. As its color features, color autocorrelo-grams of the hue and saturation component images in HSV color space are used. As its texture features, BDIP and BVLC moments of the value component image are adopted. The… (More)
In this paper, we present an improved image formation model and propose a color image enhancement using single-scale retinex based on the model. In the presented image formation model, an input image is represented as the product of global illumination, local illumination, and reflectance. In the proposed color image enhancement, an input RGB color image is… (More)
A 30-yr-old man was referred for suspicious rectal cancer because of ulcerated lesions in the rectum and a palpable mass in left inguinal area. Sigmoidoscopy showed two indurated masses and histologic evaluation of biopsy revealed obliterative endarteritis with heavy plasma cell infiltration. Both venereal disease research laboratories (VDRL) and… (More)
Edge detection are very important in the digital world to find the information about an object like range, boundaries, level, hidden and missing fields or edges etc. There are very few approaches and algorithms to show the finer details of an object. The proposed edge detection technique explores the hidden edges in a very simpler manner.
In a typical content-based image retrieval (CBIR) system, retrieval results are a set of images sorted by feature similarities with respect to the query image. This paper demonstrates the comparative study of retrieval performance of CBIR system using real dual-tree DWT (R-DT-DWT), complex dual-tree DWT (C-DT-DWT) and Curvelet Transform. The experiments are… (More)