灰度比特平面

将灰度图像的8bit平面分开来显示：
示例代码如下：

#include <opencv2/imgproc/imgproc.hpp>  
#include <opencv2/core/core.hpp>        
#include <opencv2/highgui/highgui.hpp> 
#include <iostream> 
#include <stdio.h>
using namespace cv;
using namespace std;
void showMBitPlan(cv::Mat srcImage)
{
    int nRows = srcImage.rows;
    int nCols = srcImage.cols;
    // 图像连续性判断
    if (srcImage.isContinuous())
    {
        nCols = nCols * nRows;
        nRows = 1;
    }
    // 图像指针操作
    uchar *pSrcMat;
    uchar *pResultMat;
    cv::Mat resultImage = srcImage.clone();
    int pixMax = 0, pixMin = 0;
    for (int n = 1; n <= 8; n++)
    {
        // 比特平面分层像素构成
        pixMin = pow(2, n - 1);
        pixMax = pow(2, n);
        for (int j = 0; j < nRows; j++)
        {
            // 获取图像数据指针
            pSrcMat = srcImage.ptr<uchar>(j);
            pResultMat = resultImage.ptr<uchar>(j);
            for (int i = 0; i < nCols; i++)
            {
                // 相应比特平面层二值化
                if (pSrcMat[i] >= pixMin && pSrcMat[i] < pixMax)
                    pResultMat[i] = 255;
                else
                    pResultMat[i] = 0;
            }
        }
        // 比特平面层输出  
        char windowsName[20];
        sprintf(windowsName, "BitPlane %d", n);
        imshow(windowsName, resultImage);
    }
}
int main()
{
    cv::Mat srcImage = cv::imread("test.jpg");
    if (!srcImage.data)
        return 0;
    cv::Mat srcGray;
    cvtColor(srcImage, srcGray, CV_BGR2GRAY);
    imshow("srcGray", srcGray);
    showMBitPlan(srcGray);
    cv::waitKey(0);
    return 0;
}

原图如下;

结果图如下;