Authors:
Liana Stanescu
and
Dan Dumitru Burdescu
Affiliation:
Faculty of Automation, Computers and Electronics, University of Craiova, Romania
Keyword(s):
Content-based visual retrieval, color, color texture, region detection, color set back-projection algorithm.
Related
Ontology
Subjects/Areas/Topics:
Multimedia
;
Multimedia Databases, Indexing, Recognition and Retrieval
;
Multimedia Systems and Applications
;
Telecommunications
Abstract:
The paper presents the results of some experiments effectuated in the content-based visual query process applied on color medical images extracted from the DICOM files provided by the medical tools. The color feature was considered first, and the study implied more quantization methods (HSV color space at 166 colors, RGB color space at 64 colors and CIE-LUV color space at 512 colors) and several methods of computing the dissimilitude between the query and the target images (Euclidian distance, the histogram intersection and the quadratic distance between histograms). The content-based visual query on color texture feature was tested using two important methods of texture detection: the co-occurrence matrices and the Gabor filters. Also, the accurateness of the color set back-projection in detecting color regions representing sick tissue in medical images was studied. The effectuated statistics encourage the use of this algorithm in keeping track of the patient evolution under a certa
in treatment, with performances both in quality and speed.
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