In this a novel supervised learning method is proposed to map low-level visualfeatures to high-level semantic conceptsfor region-based image retrieval. The contributions of thispa...
Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zh...
This paper presents a new approach for color segmentation, in which colors are not only mapped to unambiguous but also to ambiguous color classes. The ambiguous color classes are r...
We present a region-based active contour approach to segmenting masses in digital mammograms. The algorithm developed in a Maximum Likelihood approach is based on the calculation o...
Image retrieval can be considered as a classification problem. Classification is usually based on some image features. In the feature extraction image segmentation is commonly use...
In this paper a method for the extraction of shading and reflectance intrinsic images from a single uncalibrated image is presented. It is based on the classification of the image...