The revision of conversion formula from RGB color space to HSV color space;

A new image pre-processing method based on linear transformation of YUV color space;

Fast face detection using skin-color-model in the color space;

Automatic image segmentation based on RGB color space;

Gray level transform algorithm basing on hue/saturation/luminance color space;

Then,based on the features of H and S sub-channels of HSV color space,this paper uses K-means algorithm to classify those areas into nine parts.

The algorithm employs information of the color image in HSV color space to construct a five_scale gray image, pre_processes the image with morphological method, then locates and segments the vehicle license plate by analyzing and discriminating the statistical_letter_frequency property of every possible regions.

This paper introduces HSV color space and an algorithm of automatic recognition character color.

In this paper, through on-line skin-color training technique, the filter based on feature distance in HSV color space erases much color noise due to digital vision systems, and a skin-color statistic model of current terminal user is achieved precisely after color information of training region is analyzed.

On the basis of analysis and comparison of the existing algorithms, a new visualization method of trees using HSV color space based on IBR is presented.

Blind watermark algorithm for color image based on YIQ color space

The original color image is transformed into the YIQ color space,and the watermark was embedded in both Y component and Q component.

Considering the characteristic of Human Visual System(HVS),proposed method in this paper adopts YIQ color space,and embeds a grayscale image into the luminance Y of the color image by using discrete cosine transform,and increases the b.