convert to grayscale

This morning, I spent some time reviewing and writing a little bit about kmeans.CodeAfter dinner, it took another half an hour to write an application about kmeans. The example is grayscale image processing, for example: This is my work (source code attachment). This is just an example using kmeans. There are many gray-scale image methods. You can see that as the number of K increases, the degree of discrimination in the image will increase, obvi

Hello everyone, I found my blog has been ruined for a long time. I decided to manage it !! A lot of image processing things have been designed recently, So this time we will bring you image processing knowledge! You can also point out any errors. make progress together, and the younger brother is also a cainiao !!!! /*By default, height indicates the image height, width indicates the image width, and byte indicates the unsigned char.*/ // The image data is stored in BMP format. /*****

Image loading, displaying, saving functions:1 Image Load function: Imread () Mat imread (const string filename, int flags=1);The const string type filename is the path that loads the image (absolute path and relative path)Flags is a variable of type int, flags>0, which returns a 3-channel color image;Flags = 0, returns the grayscale image;Flags The default value of flags is 1, which can be omitted for assignment.For example: Mat srcimage = Imread (' 1

each dimension uniform and accumulate: Bin size Same, clear histogram traces Here's a way to calculate the histogram I've encapsulated.1 voidGetgrayhist (cv::mat src, cv::mat grayhist,intHistsize=255)2 {3 floatRange[] = {0,255 };4 Const float* Histrange ={range};5 BOOLUniform =true;BOOLaccumulate =false;6(AMP;SRC,1,0, Cv::mat (), Grayhist,1, histsize, histrange, uniform, accumulate);7}Mean and varianceCalculation of mean and variance using Cv::meanstddev functionThe functio

Grayscale and binarization processing of images Grayscale and binarization processing of images $ Row) {foreach ($ row as $ x =>$ Y) {$ rgb = imagecolorat ($ im, $ x, $ y ); // calculate the brightness based on the color $ B = $ rgb 255; $ G = ($ rgb> 8) 255; $ R = ($ rgb> 16) 255; $ Y = ($ R * 19595 + $ G * 38469 + $ B * 7472)> 16 ;}} unset ($ row, $ Y ); // automatically calculates the domain value

[Python] converts RGB Images to grayscale images, This problem occurs when performing three-dimensional matching for depth graphs. I am used to rgb2gray of matlab, but I am not familiar with python implementation. I found related solutions on the Internet and wrote them down for backup. Conversion Formula from RGB to grayscale: Y' = 0.299 R + 0.587G + 0.114 B Custom conversion functions: 1 import num

Learn how to remove colors from images by using android, return grayscale images, and use the setSaturation method in ColorMatrix (34 ), Source image: : To achieve the above results is actually very simple, directly go to the Code: public class MainActivity extends Activity {private Button btn_start;private ImageView img;private Bitmap bitmap;@Overrideprotected void onCreate(Bundle savedInstanceState) {super.onCreate(savedInstanceState);setConten

Import NumPyFrom PIL import ImageA=numpy.array (numpy.uint16([[12,23,34],[123,213,22]] )Im=image.fromarray (a)# im =image.fromarray (A, mode= ' i;16 ')Im.save (R ' d:\a16. Tiff')The saved A16.tiff is a 16-bit grayscale image.first, the generated array type is UInt16then, FromArray () do not specify its mode, or specify mode= ' i;16 ', where the ' i;16 ' is the first time I have seen it, and the official note does not mention this mode in the document,

At hand a RK3288 board, on the board tested a 1080p color graph gray Conversion of OpenCL example. OpenCL does not have any optimizations. For example, please visit here. This example is an executable program compiled under the cheer Android platform.Go to the Jni folder and do the following:For my environment, the executable files, kernel.cl, and pictures are push to the//mnt/sdcard/opencl/gray path of the device. Please choose your own.After the ADB connects the device, the performance is as f

Today, all web pages are grayed out all over the world, right. Whether or not the mourning lies in whether a person's heart is kind. On the surface, it makes a video website unable to search for a webpage with no color. what is the significance? Chrome Technically, the most secure way to achieve gray-scale web pages is to directly process all images without considering compatibility or efficiency. However, it takes a lot of effort to switch back. The ie series supports css filters. filter: g

) *width*height); Zero (temp, width,height);DoubleMean_g=matrixmean (src, width, height); for(intj=w_size/2; j2; j + +) { for(inti=w_size/2; i2; i++) {DoubleDeta=0.0;Doublemean=0.0;DoublePix_value=src[j*width+i];//local mean for(intm=-w_size/2; m2+1; m++) { for(intn=-w_size/2; n2+1; n++) {mean+=src[(j+m) *width+i+n]; }} mean/= (Double) (w_size*w_size);//local Deta for(intm=-w_size/2; m2+1; m++) { for(intn=-w_size/2; n2+1; n++) {deta+= (src[(j+m) *width+i+n]-mean) * (src[(

128/0/0 Crimson255/0/0 Red255/0/255 Pink255/153/204 Rose153/51/0 Brown255/102/0 Orange Yellow255/153/0 Light Orange Yellow255/204/0 Gold255/204/153 Brown51/51/0 Olive Green128/128/0 Deep Yellow153/204/0 acid Orange255/255/0 Yellow255/255/153 Light Yellow0/51/0 Dark Green0/128/0 Green51/153/102 Sea Green0/255/0 Bright Green204/255/204 Light Green0/51/102 dark grey Blue0/128/128 Cyan51/204/204 Sapphire Blue0/255/255 Turquoise204/255/255 Light Turquoise0/0/128 Navy0/0/255 Blue51/102/255 Light Blue0

implementing grayscale calculation is as follows: For (VAR x = 0; x For (Var y = 0; y // Index of the pixel in the array VaR idx = (x + y * canvasdata. width) * 4;VaR r = canvasdata. Data [idx + 0];VaR G = canvasdata. Data [idx + 1];VaR B = canvasdata. Data [idx + 2]; // Calculate gray scale value VaR gray =. 299 * r +. 587 * g +. 114 * B; // Assign gray scale value Canvasdata. Data [idx + 0] = gray; // RED CHANNEL Canvasdata. Data [idx + 1]

There are four ways to grayscale a color image: 1. Component Method The three-part brightness in a color image is used as the gray value of the three gray images. F1 (I, j) = R (I, j), F2 (I, j) = g (I, j), F3 (I, j) = B (I, j) 2. Maximum Value Method F (I, j) = max (R (I, j), g (I, j), B (I, j )) 3. Average Method F (I, j) = (R (I, j), g (I, j), B (I, j)/3 4. weighted average method Weighted average of RGB three Parts Based on Human Eye sensitivity F

Demand:The maximum gray level, the minimum gray level, and the average gray level of the image are obtained.The code is as follows:% by scott% Count Max Gray and min grayclear All;clc;rgb = imread (' test.jpg '); gray = Rgb2gray (RGB); [M,n] = size (gray); max = 0;min = 255;sum = 0;avg = 0;for i=1:1:m for j=1:1:n if (Gray (I,J) > Max) max = Gra Y (i,j); End if (Gray (I,j) Matlab image Processing _ Statistics max/min/average

A single point in an image is called a pixel. Each pixel has a value called a pixel value, which indicates the intensity of a specific color. For a black-and-white image, the color of each pixel is represented by a binary value of 1. Then, the color is only "1" and "0. That is to say, either black or white. For Grayscale Images, if they are not expressed by means of merging, they can be expressed as (0), (123), (255 ). If it is expressed by color synt

One of the most important core values of Huawei is openness and enterprising. This article has been controversial for a long time in the discussion of the administrative team. Huawei is a company with strong innovation capabilities. is openness so important?As a result of success, we are becoming more confident, proud, and complacent. In fact, we are becoming more and more autistic. We emphasize openness and learn more from others, so that we can have updated goals, real self-examination, and s

Only technically, to achieve the Web page grayscale, the safest way to deal with all the images directly, regardless of compatibility, regardless of efficiency. However, the workload is larger, switching back also laborious. IE Series support CSS filter, a sentence filter:gray; solves all the problems. However, as we all know, IE is famous for its inefficiency, you will find that the speed is significantly lower after opening. And, most deadly, is n

Complete color-to-gray algorithm Learning Source: gameres Author: zyl910 Date: 2006/05/26 -------------------------------------------------------------------------------- File: studyrgb2gray.txt Name: complete learning of color to grayscale Algorithms Author: zyl910 Version: V1.0 Updata: 2006-5-22 　　I. Basics There is a well-known psychological formula for the conversion of color to Gray:Gray = r * 0.299 + G * 0.587 + B * 0.114 Ii. Integer Algorithm

Option explicitdeclare function getpixel lib "GDI32" (byval HDC as long, byval X as long, byval y as long) as longdeclare function setpixelv lib "GDI32" (byval HDC as long, byval X as long, byval y as long, byval crcolor as long) as longfunction getrvalue (byval rgbcolor ) getrvalue = rgbcolor and hffend functionfunction getgvalue (byval rgbcolor ) getgvalue = (rgbcolor and hff00 )/ HFF End functionfunction getbvalue (byval rgbcolor ) getbvalue = (rgbcolor and hff0000) / hff00 End funct