Search - rgb to hsv with matlab

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[matlab] 咖吗滤波matlab DL : 0: function [h,s,v] = rgb2hsv(r,g,b)
%RGB2HSV Convert red-green-blue colors to hue-saturation-value.
%   H = RGB2HSV(M) converts an RGB color map to an HSV color map.
%   Each map is a matrix with any number of rows, exactly three columns,
%   and elements in the interval 0 to 1. The columns of the input matrix,
%   M, represent intensity of red, blue and green, respectively. The
%   columns of the resulting output matrix, H, represent hue, saturation
%   and color value, respectively.
%
%   HSV = RGB2HSV(RGB) converts the RGB image RGB (3-D array) to the
%   equivalent HSV image HSV (3-D array).

Date : 2008-12-16 Size : 1.48kb User : leohee
[Special Effects] rgb2hsv DL : 0: 实现RGB颜色空间到HSV颜色空间变换的函数。-achieve RGB color space to the HSV color space conversion function.
Date : 2025-07-02 Size : 1kb User : jjw
[Special Effects] rgb-hsv DL : 0: 对于读入的彩色图像在rgb和hsv域中进行均衡，并显示比较均衡效果-To read the color image in rgb and hsv domain balanced and shows the effect of a more balanced
Date : 2025-07-02 Size : 3kb User : 王站
[matlab] IMAGE-FUSION-resolutionmerge DL : 0: Monochromatic (gray scale) low resolution image is converged to colored image by false color mapping to "hot" color scheme. This RGB image is then converted to Hue, Saturation and Value (HSV) image. Value component is replaced by higher resolution image and the resulting HSV image is converted back to RGB. This RGB merged image converted to gray scale is a merged image with improved spatial resolution.
Date : 2025-07-02 Size : 44kb User : sofi
[Algorithm] Intelligent-Image-Color-Reduction-and-Quantizatio DL : 0: In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing Map Neural Network. The implemented code, uses RGB and HSV color coding, to perform the clustering task, and user can desired approach of coding.-In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing Map Neural Network. The implemented code, uses RGB and HSV color coding, to perform the clustering task, and user can desired approach of coding.
Date : 2025-07-02 Size : 247kb User : Mustafa
[matlab] Color Reduction and Quantization DL : 0: Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing Map Neural Network. The implemented code, uses RGB and HSV color coding, to perform the clustering task, and user can select desired approach of coding.
Date : 2025-07-02 Size : 243kb User : amardz