In this paper, we propose a new type of image feature, which consists of patterns of colors and intensities that capture the latent associations among images and primitive feature...
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
What is presented in this paper is our work in the area of image organization and retrieval in Image Databases using global color features and spatial color distribution of images....
A combination of several classifiers using global features for the content description of medical images is proposed. Beside well known texture histogram features, downscaled repr...
Color histogram is an important technique for color image database indexing and retrieving. In this paper, traditional color histogram is modified to capture spatial layout informa...