OpenCV 网格区域

发布于 2024-08-08 22:49:18 字数 96 浏览 9 评论 0原文

我想使用 OpenCV 找到来自相机的图像的非白色区域。我已经可以使用网络摄像头中的图像找到圆圈。我想制作一个网格或其他东西,这样我就可以确定图像不是白色的百分比。有什么想法吗?

I want to find the non-white area of an image from a camera using OpenCV. I can already find circles using images from my web cam. I want to make a grid or something so I can determine the percent of the image is not white. Any ideas?

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冷︶言冷语的世界 2024-08-15 22:49:18

如果您想找到图像中非白色像素的百分比,为什么不直接计算所有非白色像素并将其除以图像中的像素总数呢?

C 代码

#include <stdio.h>
#include <cv.h>
#include <cxcore.h>
#include <highgui.h>

int main()
{
    // Acquire the image (I'm reading it from a file);
    IplImage* img = cvLoadImage("image.bmp",1);

    int i,j,k;
    // Variables to store image properties
    int height,width,step,channels;
    uchar *data;
    // Variables to store the number of white pixels and a flag
    int WhiteCount,bWhite;

    // Acquire image unfo
    height    = img->height;
    width     = img->width;
    step      = img->widthStep;
    channels  = img->nChannels;
    data      = (uchar *)img->imageData;

    // Begin
    WhiteCount = 0;
    for(i=0;i<height;i++) 
    {
      for(j=0;j<width;j++) 
      { // Go through each channel of the image (R,G, and B) to see if it's equal to 255
        bWhite = 0;
        for(k=0;k<channels;k++)
        {   // This checks if the pixel's kth channel is 255 - it can be faster.
            if (data[i*step+j*channels+k]==255) bWhite = 1;
            else 
            {
                bWhite = 0;
                break;
            }
        }
        if(bWhite == 1) WhiteCount++;
      }
    }       

    printf("Percentage: %f%%",100.0*WhiteCount/(height*width));

    return 0;
}

If you want to find the percentage of pixels in your image which is not white, why don't you just count all the pixels which are not white and divide it by the total number of pixels in the image?

Code in C

#include <stdio.h>
#include <cv.h>
#include <cxcore.h>
#include <highgui.h>

int main()
{
    // Acquire the image (I'm reading it from a file);
    IplImage* img = cvLoadImage("image.bmp",1);

    int i,j,k;
    // Variables to store image properties
    int height,width,step,channels;
    uchar *data;
    // Variables to store the number of white pixels and a flag
    int WhiteCount,bWhite;

    // Acquire image unfo
    height    = img->height;
    width     = img->width;
    step      = img->widthStep;
    channels  = img->nChannels;
    data      = (uchar *)img->imageData;

    // Begin
    WhiteCount = 0;
    for(i=0;i<height;i++) 
    {
      for(j=0;j<width;j++) 
      { // Go through each channel of the image (R,G, and B) to see if it's equal to 255
        bWhite = 0;
        for(k=0;k<channels;k++)
        {   // This checks if the pixel's kth channel is 255 - it can be faster.
            if (data[i*step+j*channels+k]==255) bWhite = 1;
            else 
            {
                bWhite = 0;
                break;
            }
        }
        if(bWhite == 1) WhiteCount++;
      }
    }       

    printf("Percentage: %f%%",100.0*WhiteCount/(height*width));

    return 0;
}
筑梦 2024-08-15 22:49:18

如果您的图像仅为黑白,您可以使用 cv::countNonZero 并进行减法。

You can use cv::countNonZero and subtract if your image is only black and white.

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