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HSV颜色空间较RGB空间更适合人的感官视觉，在HSV空间统计图像的分布特征并用于检索比在RGB空间的效果较好。-HSV color space than RGB space is more suitable for people’s senses of sight, in the HSV spatial statistical distribution of the image and is used to retrieve than in RGB space effective.
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数字图像处理，颜色模型，对图像进行颜色转换-Given a color image ‘football.jpg’.
1) Display the three component images: red, green and blue.
2) Perform histogram equalization for the original image in RGB color space, and display the result.
3) Convert RGB to HSV, e
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Color HSV image Edge detection based on Histogram Equalization
Convert The RGB image to HSV image
Separate the HSV to H,S,V component Preserve the H,S component Perform edge detection on V of the image-Color HSV image Edge detection based on His
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This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is finished, the process is as follows: quantifying the color space in non-eq
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使用RGB HSV HISTOGRAM检测(CBIR by RGB HSV HIstogram in order to retrieve the similar image by the lowest error between the select image and the database)
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