3D histogram visualization in different color spaces with application in color clustering classification

Gabriel G. Marcu; Satoshi Abe

doi:10.1117/12.206542

10 April 1995 3D histogram visualization in different color spaces with application in color clustering classification

Gabriel G. Marcu, Satoshi Abe

Proceedings Volume 2414, Device-Independent Color Imaging II; (1995) https://doi.org/10.1117/12.206542
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

The paper presents a dynamically visualization procedure for 3D histogram of color images. The procedure runs for RGB, YMC, HSV, HSL device dependent color spaces and for Lab, Luv device independent color spaces and it is easily extendable to other color spaces if the analytical form of color transformations is available. Each histogram value is represented in the color space as a colored ball, in a position corresponding to the place of color in the color space. The paper presents the procedures for nonlinear ball normalization, ordering of drawing, space edges drawing, translation, scaling and rotation of the histogram. The 3D histogram visualization procedure can be used in different applications described in the second part of the paper. It enables to get a clear representation of the range of colors of one image, to derive and compare the efficiency of different clusterization procedures for color classification, to display comparatively the gamut of different color devices, to select the color space for an optimal mapping procedure of the outside gamut colors for minimizing the hue error, to detect bad-alignment in RGB planes for a sequential process.

Citation Download Citation

Gabriel G. Marcu and Satoshi Abe "3D histogram visualization in different color spaces with application in color clustering classification", Proc. SPIE 2414, Device-Independent Color Imaging II, (10 April 1995); https://doi.org/10.1117/12.206542

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