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light intensity changes, than RGB recognition technique has been applied to many fields and has gone ahead rapidly. For instance, color recognition in 陜西科技大學(xué) 2 product surface, license plates identification, face recognition and skin recognition [36]. Color recognition effects differ with the change of color space. This paper investigates on color feature divisibility in the monly used color spaces as RGB space, CMY space, YUV space, YCbCr space, I1I2I3space and HSI space. Analysis indicates that HSI has the best divisibility performance in all the above color spaces based on the distance criterion. It provides a theory basis for color recognition. II. COLOR SPACE AND I TS T RANSFORMATION It is essential to build up and select a suitable color space for obtaining a kind of valid color features to characterize colorful images. Different color spaces are utilized for different research purposes. Color space means to define color by an array in threedimension space. In the processing of colorful images, color space is also named as color model or color coordinates. One color space can be converted to another by certain transforms. Below is the introduction of some color spaces and their conversions [7]. A. RGB Color Space Red (R), green (G), blue (B) are three primary colors ofspectrum. All colors can be generated by the sum of the threeprimary colors. In digital images, values of R, G and B rangefrom 0 to 255. A cube in threedimension coordinate space can be used to describe the RGB color space, where red, green andblue are the three axes, shown in Fig. main drawback of RGB color space as follows: ? It is not intuitive. It is difficult to see from the RGBvalues the cognitive attributes that the color representsitself. ? It is nonuniform. The perception difference betweentwo colors in RGB space is different from the distancebetween the two colors. ? It is dependent on hardware devices. In a word, RGB space is devicerelated and an inpleteintuitive color description. To overe these problems, othercolor spaces,which are more in line with characteristics of color vision, are adopted. RGB space can be mapped to other color spaces readily. 陜西科技大學(xué) 3 B. CMY(CMYK) Color Space CMY space is a spatial structure of a rectangular Cartesian. Its three primary ponents are cyan (C), magenta (M) and yellow (Y). Colors are obtained by subtractive colors. CMY space is widely used in nonemission display as inkjet printers. Equal amount of the three ponents can generate the black color. But the aforementioned black color is not pure. Generally speaking, to generate true black color, the fourth ponent, . black, is added in. This is the CMYK color space. CMY space is not very intuitive and nonlinear. Its three ponents are the plementary colors of R, G and B. The transformations are as follows: The transformations from RGB space to CMY space are as follows: 陜西科技大學(xué) 4 C. YUV and YCrCb Color Space YUV space and YCbCr space both generate a luminance p