Content-Based Image Query on Color Feature in the Image Databases Obtained from DICOM Files

The paper presents a qualitative study of the content-based image query process over the image databases resulting from the standard DICOM files produced by the medical devices used in the diagnosis process. There were implemented and studied several methods of transformation and quantization of the color space (HSV quantized at 166 colors, RGB quantized at 64 colors and CIE-LUV quantized at 512 colors) and also three methods for dissimilitude computing between the query and the target image (Euclidian distance, histograms intersection and quadratic distance between histograms). The algorithms that permit the extraction of the alphanumeric and imagistic information from the standard DICOM files and the algorithms for transforming and quantization of the color spaces are also presented. The experimental results displayed in a tabular and graphical form, permit the formulation of some useful conclusion, because the color medical images are more complex than the usual images