In the Windows 2000 environment, the image retrieval system, which was based on the image color characteristic and used the search algorithm of color matching pair, was implemented with Visual C++ 6.0 programming language. Theretrieval precision and recall are increased effectively.
Color matching and acceptability measurements were made on a visual colorimeter for chromaticities of CIE standard illuminants A, D55, D65 and D75. It was found that the matching and acceptability tolerances of the 4 illuminants took the shape of ellipses on the CIE 1931 chromaticity diagram.
Based on block histogram algorithm for color image retrieval using in CBIR system,the performance of color matching pair retrieval algorithm that makes further use of the spatial similarity information between example image and retrieved images is analyzed.
Preservation rate, color matching, pigmentation of the edge of the cavity, anatomical modality, marginal closeness, ensuing caries forming and sensitivity after operation were evaluated at baseline, 6 months, 12 months.
Combined with the characteristic of the light, this paper compares and analyzes the methods for image color matching based on two color spaces,RGB color space and HSI color space, then discusses the matching method based on histogram specification.