convert to grayscale

Let's give you a detailed analysis of the various methods for converting color images to grayscale.Tutorial sharing:Method 1: convert menus to grayscaleThis may be the quickest, at least the most common method. Select a file and select "edit-edit color-convert to grayscale ".Click "next page". Let's take a look at the following method.

and V is 0-1.Second, use the function of OPENCV to convert color image to grayscale Image:#includeusing namespace CV;using namespace Std;int main (){Mat src = imread ("lena.jpg", 1);Mat src = imread ("Lena.jpg", 0);Mat DST;Namedwindow ("RGB", window_autosize);Imshow ("RGB", SRC);Waitkey (0);Cvtcolor (Src,dst,cv_bgr2gray);Namedwindow ("GRAY", window_autosize);Imshow ("GRAY", DST);CoutWaitkey (0);Src.release

There are several ways we can convert it to grayscale: 1. Floating-point algorithm: gray=r*0.3+g*0.59+b*0.112. Integer method: gray= (r*30+g*59+b*11)/1003. Shift Method: Gray = (r*76+g*151+b* >>8;4. Average method: gray= (r+g+b)/3;5. Green only: gray=g;DOCTYPE HTML>HTMLLang= "en">Head> MetaCharSet= "UTF-8"> title>Graytitle>Head>Body> CanvasID= ' MyCanvas 'width= ' + 'Height= ' + '>your browser does

CPUVoid cpu_histgo (){Int I, J;For (I = 0; I {For (j = 0; j {// Printf ("data: % d \ n", data [I * width + J]);Hostbin [DATA [I * width + J] ++;// Printf ("hostbin % d = % d \ n", data [I * width + J], hostbin [DATA [I * width + J]);}}} How to Use opencl to calculate grayscale images is not that easy. We know that the advantage of GPU is parallel computing. How to partition images to calculate histograms in parallel is the focus of our discussion. Th

Converts a color RGB image to a grayscale image, where the pixel value is converted to Grayscale Value =0.2989 * R + 0.5870 * G + 0.1140 * B The original color RGB image is a three-channel, converted into a single-channel grayscale image You wrote a Python program that implements the conversion task: #-*-Coding:utf-8-*- #

rgb2greyBtn to the "convert to grayscale" button. setOnClickListener (new OnClickListener () {@ Override public void onClick (View v) {// TODO Auto-generated method stub // display the converted grayscale image imageView2.setImageBitmap (convertGreyImg (bitmap ));}});} /*** convert a color image to a

Turn a color picture into grayscale;////////////////////////////#include There are two main ways to convert color images to grayscale, one is to convert directly from the Cvcvtcolor function of OpenCV, and the other is to process pixels directly.OPRENCV Learning Road One: converting color images to

1. convert a single image to a grayscale image Convert image.png-colorspace gray image-gray.png. 2. batch conversion Mkdir out Note: The preceding commands must be run in the DOS environment. You must install ImageMagick before using the convert command. I like to use its portable version. After decompression, I c

Reference: http://blog.csdn.net/cool1949/article/details/6649429 RGB image to grayscale image Today in helping Li Na classmate read the code, suddenly thought of to scrutiny RGB image conversion to grayscale image principle. So began the story of this blog. As a little white, the elaboration may not be very specific and comprehensive. I hope that we could make progress together.In general, the RGB image is

#include "stdafx.h"//implement to convert a color picture to a grayscale imageint _tmain (int argc, _tchar* argv[]){Iplimage *image; Initialize Save original imageIplimage *result; Save Grayscale imageImage = Cvloadimage ("Picture 3.jpg",-1);int channel =-1;int depth =image->depth;Cvsize sz;Sz.width =image->width;Sz.height =image->height;result = Cvcreateimage (S

What is a grayscale map? Any color has red, green, blue three primary colors, if the original point of the color of RGB (R,G,B), then, we can use the following methods to convert it to grayscale: 1. Floating-point algorithm: gray=r*0.3+g*0.59+b*0.11 2. Integer method: gray= (r*30+g*59+b*11)/100 3. Shift Method: Gray = (r*76+g*151+b*28) >>8; 4. Average method:

Extended image content processor: grayscale transformation and processor parameter problems You want to extend the image processor to process the color of each independent pixel. You also want to change the processor parameters from the XNA main project.Solution In the previous tutorial, you learned how to extend the content processor so that you can process and change the value of an independent pixel. All public variables declared in the Processor c

Grayscale mode : Simple point that grayscale mode is like Black-and-white photos, all colors are in different 256 shades of gray (so in grayscale mode to fill in other color color, the default will be associated with the gray color replacement fill!) indexing mode : When doing Web pages, indexed color files are generally GIF format (saved in GIF format of the pi

The first to learn to do the Web page, it is not careful to use the CMYK model of the picture, and then open in the browser is x, and then find a long time to know the original page to use RGB mode, now we have to simple Photoshop grayscale, index, RGB, CMYK four mode. 　　Grayscale mode : Simple point that grayscale mode is like Black-and-white photos, all colors

1. Method 1BufferedImageGrayimage= New BufferedImage(Width, Height, Colorimagetype_byte_gray); graphics g = grayimagegetgraphics (); G. (colorimage, 0, 0 null); G. 2. Method 2 (not recommended)ColorSpaceCs= ColorSpacegetinstance (colorspace. Cs_gray colorconvertop op = Span class= "KWD" >new colorconvertop (cs null); bufferedimage Grayimage = op filter (Colorimage, Span class= "KWD" >null Note that this method gets the same graysc