hsv

这是209.11.23的博客 今天心脏很难受 明天请假去查查 下面进入正题 Opencv的内容 各位都是大佬 HSV的颜色表和计算方法就不用说了吧 #include <opencv2/opencv.hpp> #include<iostream> #include<string> using namespace cv; using namespace std; //输入图像 Mat img; //灰度值归一化 Mat bgr; //HSV图像 Mat hsv; //色相 string windowName = "src"; //输出图像的显示窗口 string dstName = "dst"; //输出图像 Mat dst; Mat mask; //回调函数 Mat picture; int main(int argc, char** argv) { system("color 02"); cout << "寻找黄色飞龙绣球得到最小外边框" << endl; VideoCapture capture(0); while (1) { //帧转变为图像 capture >> picture;//imread("D:\\4.jpg"); //方框滤波处理 boxFilter(picture, img, -1, Size(5, 2)); if (!img.data || img

I've been trying to get a visualisation going for a few days. I'm generating a diffraction image and want to color it depending on the wavelength of light. The easiest way to get the right color was by using the HSV space with H varying with the wavelength and S,V set to 1.0 Alas, I can't find a formula/algorithm/way to mix different colors in the HSV space. Is there a formula for mixing in HSV or maybe another comprehensible way? Honestly, I'd convert the RGB, average the components and convert back to HSV. It's not the most efficient way, but you'll presumably have or need RGB<->HSV code and

I've heard that if you need to do a color segmentation on your software (create a binary image from a colored image by setting pixels to 1 if they meet certain threshold rules like R<100, G>100, 10< B < 123) it is better to first convert your image to HSV. Is this really true? And why? The big reason is that it separates color information (chroma) from intensity or lighting (luma). Because value is separated, you can construct a histogram or thresholding rules using only saturation and hue. This in theory will work regardless of lighting changes in the value channel. In practice it is just a

cvInRangeS(imgHSV, cvScalar(15, 234, 120), cvScalar(21, 234, 120), imgThreshed); I am wondering what each parameter in the cvScalar function represents. I thought it would be HSV but it doesnt seem to be thresholding the desired color. Could someone explain the parameters a bit clearer? Sam Felix It means H - Hue, S - Saturation, V - Value take a look in here for understanding each one of those: http://en.wikipedia.org/wiki/HSL_and_HSV the color is mainly defined in the Hue component. There is a good tutorial about thresholding in HSV space in here: http://aishack.in/tutorials/thresholding/

i use the code below to calculate the Euclidean distance for two rgb images: Im1 = imread(filename1); Im1 = rgb2gray(Im1); hn1 = imhist(Im1)./numel(Im1); Im2 = imread(filename2); Im2 = rgb2gray(Im2); hn2 = imhist(Im2)./numel(Im2); f = norm(hn1-hn2); and it gives me the correct answer but now i want to use the code for two images in hsv color mode but it wont work on it cause all of the above code is in a 2d space while hsv is 1d is there any specific code for calculating Euclidean distance of two image in hsv color space? the images format are jpeg You need to create a histogram for each

I am a beginner in opencv. I am using opencv v2.1. I have converted an RGB image to HSV image. Now I want to obtain single channels Hue, Value and Saturation separately. What should I do? I have seen similar questions here but No-one answered that. Kindly help. You can access the same way you were accessing for RGB image where 1st channel will be for H, 2nd channel for S and 3rd channel for V. If you are using OpenCV 2.1, you must be using IplImage then, right? like if your HSV image is IplImage *src . IplImage* h = cvCreateImage( cvGetSize(src), IPL_DEPTH_8U, 1 ); IplImage* s = cvCreateImage(