In 1931, the Commission Internationale de l’Eclairage (CIE) recommended a colour specification system. After various additions over the years it now includes a series of colorimetric measures such as the tristimulus values ( XYZ ), chromaticity coordinates, dominant wavelength, and excitation purity for colour specification and colour matching, CIELAB and CIELUV colour spaces for presenting col...

The CMC, BFD, and CIE94 color-difference formulas have been compared throughout their weighting functions to the CIELAB components DL*, DC*, DH*, and from their performance with respect to several wide datasets from old and recent literature. Predicting the magnitude of perceived color differences, a statistically significant improvement upon CIELAB should be recognized for these three formulas...

The RIT-DuPont data set is used to investigate the Euclidean color-difference formulas DIN99d, DIN99o and IPT. The coordinates of the metrics as well as the metrics themselves are transformed to the CIELAB color space, the latter by means of the Jacobians of the coordinate transformations. The RIT-DuPont ellipsoids in the CIELAB space are compared to the Euclidean metrics using two different me...

In recent years, various color difference formulas were developed for the CIELAB space, such as CMC, CIE94 and CIEDE2000. Although these formulas have achieved greater accuracy in perceptual measurement between colors, many applications cannot take advantage of this greater precision, because the Euclidean distances in CIELAB are not isometric in accordance with these new formulas. Thus, applic...

This paper proposes an approach for the segmentation of color images using CIELab color space and Ant based clustering. Image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. The objective of segmentation is to change the image into meaningful form that is easier to analyze. This paper elaborat...

Several of the spectral match metrics considered by Imai, et al., are compared for a large number of non-metameric pairs of spectra in order to assess how accurately they track human perception as predicted by CIELAB (i.e., the extent to which the metric will exhibit a proportional relationship with CIELAB total color difference), and how precisely they do so (i.e., the relative compactness of ...

Skin Color segmentation plays an important role in various applications such as face recognition, gesture recognition, human computer interaction etc. Face recognition is of main concern in skin color segmentation. There are various color models used for skin color segmentation (YCbCr, HSV and CIELAB) but appropriate method should be used for skin color segmentation. In real time the main probl...