Question

我有一个1位深度的单色BMP文件。

http://i.stack.imgur.com/MrOsU.png

我正在尝试查找此图片中黑色像素的位置和数量。

这是我的代码：

#include<opencv2/opencv.hpp>
#include<opencv2/highgui/highgui.hpp>

using namespace std;
using namespace cv;

int main()
{

Mat img = imread("/home/jordan/opencv/Test/edge_detection/img2.bmp",0);
cout<<"cols= "<<img.cols<<"row= "<<img.rows<<"\n";
int i,j,count=0;
for(i=0;i<=img.cols;i++)
{
for(j=0;j<=img.rows;j++)
{
int k=img.at<uchar>(j,i);
if(k==0)
{  
count++;
cout<<"col="<<i<<"row="<<j<<"k= "<< k<<"\t\n";
}
}
} 
cout<<"count="<<count<<"\n";
}

从下面的输出中可以看出，我在行195上得到了很多零，这根据上面的图像是不正确的。请帮我解决这个问题。

输出：

clo = 98row = 69 k = 0 clo = 98row = 195 k = 0 clo = 99row = 69 k = 0 clo = 99row = 195   k = 0 clo = 100row = 69 k = 0 clo = 100row = 195 k = 0 clo = 101row = 69 k = 0
  clo = 101row = 195 k = 0 clo = 102row = 69 k = 0 clo = 102row = 195 k = 0   clo = 103row = 68 k = 0 clo = 103row = 195 k = 0 clo = 104row = 68 k = 0
  clo = 104row = 195 k = 0 clo = 105row = 68 k = 0 clo = 105row = 195 k = 0   clo = 106row = 68 k = 0 clo = 106row = 195 k = 0 clo = 107row = 68 k = 0
  clo = 107row = 195 k = 0 clo = 108row = 68 k = 0 clo = 108row = 195 k = 0   clo = 109row = 68 k = 0 clo = 109row = 195 k = 0 clo = 110row = 68 k = 0
  clo = 110row = 195 k = 0 clo = 111row = 68 k = 0 clo = 111row = 195 k = 0   clo = 112row = 68 k = 0 clo = 112row = 195 k = 0 clo = 113row = 68 k = 0
  clo = 113row = 195 k = 0 clo = 114row = 68 k = 0 clo = 114row = 195 k = 0   clo = 115row = 68 k = 0 clo = 115row = 195 k = 0 clo = 116row = 68 k = 0
  clo = 116row = 195 k = 0 clo = 117row = 68 k = 0 clo = 117row = 195 k = 0   clo = 118row = 68 k = 0 clo = 118row = 195 k = 0 clo = 119row = 68 k = 0
  clo = 119row = 195 k = 0 clo = 120row = 68 k = 0 clo = 120row = 195 k = 0   clo = 121row = 68 k = 0 clo = 121row = 195 k = 0 clo = 122row = 68 k = 0
  clo = 122row = 195 k = 0 clo = 123row = 68 k = 0 clo = 123row = 195 k = 0   clo = 124row = 68 k = 0 clo = 124row = 195 k = 0 clo = 125row = 68 k = 0
  clo = 125row = 195 k = 0 clo = 126row = 68 k = 0 clo = 126row = 195 k = 0   clo = 127row = 69 k = 0 clo = 127row = 195 k = 0 clo = 128row = 69 k = 0
  clo = 128row = 195 k = 0 clo = 129row = 69 k = 0 clo = 129row = 195 k = 0   clo = 130row = 69 k = 0 clo = 130row = 195 k = 0 clo = 131row = 69 k = 0
  clo = 131row = 195 k = 0 clo = 132row = 69 k = 0 clo = 132row = 195 k = 0   clo = 133row = 69 k = 0 clo = 133row = 195 k = 0 clo = 134row = 69 k = 0
  clo = 134row = 195 k = 0 clo = 135row = 69 k = 0 clo = 135row = 195 k = 0   clo = 136row = 69 k = 0 clo = 136row = 195 k = 0 clo = 137row = 70 k = 0
  clo = 137row = 195 k = 0 clo = 138row = 70 k = 0 clo = 138row = 195 k = 0   clo = 139row = 70 k = 0 clo = 139row = 195 k = 0 clo = 140row = 70 k = 0
  clo = 140row = 195 k = 0 clo = 141row = 70 k = 0 clo = 141row = 195 k = 0   clo = 142row = 70 k = 0 clo = 142row = 195 k = 0 clo = 143row = 70 k = 0
  clo = 143row = 195 k = 0 clo = 144row = 71 k = 0 clo = 144row = 195 k = 0   clo = 145row = 71 k = 0 clo = 145row = 195 k = 0 clo = 146row = 71 k = 0
  clo = 146row = 195 k = 0 clo = 147row = 71 k = 0 clo = 147row = 195 k = 0   clo = 148row = 71 k = 0 clo = 148row = 195 k = 0 clo = 149row = 72 k = 0
  clo = 149row = 195 k = 0 clo = 150row = 72 k = 0 clo = 150row = 195 k = 0   clo = 151row = 72 k = 0 clo = 151row = 195 k = 0 clo = 152row = 72 k = 0
  clo = 152row = 195 k = 0 clo = 153row = 73 k = 0 clo = 153row = 195 k = 0   clo = 154row = 73 k = 0 clo = 154row = 195 k = 0 clo = 155row = 73 k = 0
  clo = 155row = 195 k = 0 clo = 156row = 73 k = 0 clo = 156row = 195 k = 0   clo = 157row = 74 k = 0 clo = 157row = 195 k = 0 clo = 158row = 74 k = 0
  clo = 158row = 195 k = 0 clo = 159row = 74 k = 0 clo = 159row = 195 k = 0   clo = 160row = 74 k = 0 clo = 160row = 195 k = 0 clo = 161row = 75 k = 0
  clo = 161row = 195 k = 0 clo = 162row = 75 k = 0 clo = 162row = 195 k = 0   clo = 163row = 75 k = 0 clo = 163row = 195 k = 0 clo = 164row = 76 k = 0
  clo = 164row = 195 k = 0 clo = 165row = 76 k = 0 clo = 165row = 195 k = 0   clo = 166row = 76 k = 0 clo = 166row = 195 k = 0 clo = 167row = 76 k = 0
  clo = 167row = 195 k = 0 clo = 168row = 77 k = 0 clo = 168row = 195 k = 0   clo = 169row = 77 k = 0 clo = 169row = 195 k = 0 clo = 170row = 78 k = 0
  clo = 170row = 195 k = 0 clo = 171row = 78 k = 0 clo = 171row = 195 k = 0   clo = 172row = 78 k = 0 clo = 172row = 195 k = 0 clo = 173row = 79 k = 0
  clo = 173row = 195 k = 0 clo = 174row = 79 k = 0 clo = 174row = 195 k = 0   clo = 175row = 79 k = 0 clo = 175row = 195 k = 0 clo = 176row = 80 k = 0
  clo = 176row = 195 k = 0 clo = 177row = 80 k = 0 clo = 177row = 195 k = 0   clo = 178row = 81 k = 0 clo = 178row = 195 k = 0 clo = 179row = 81 k = 0
  clo = 179row = 195 k = 0 clo = 180row = 82 k = 0 clo = 180row = 195 k = 0   clo = 181row = 82 k = 0 clo = 181row = 195 k = 0 clo = 182row = 83 k = 0
  clo = 182row = 195 k = 0 clo = 183row = 83 k = 0 clo = 183row = 195 k = 0   clo = 184row = 83 k = 0 clo = 184row = 195 k = 0 clo = 185row = 84 k = 0
  clo = 185row = 195 k = 0 clo = 186row = 84 k = 0 clo = 186row = 195 k = 0   clo = 187row = 85 k = 0 clo = 187row = 195 k = 0 clo = 188row = 85 k = 0
  clo = 188row = 195 k = 0 clo = 189row = 86 k = 0 clo = 189row = 195 k = 0   clo = 190row = 86 k = 0 clo = 190row = 195 k = 0 clo = 191row = 87 k = 0
  clo = 191row = 195 k = 0 clo = 192row = 88 k = 0 clo = 192row = 195 k = 0   clo = 193row = 88 k = 0 clo = 193row = 195 k = 0 clo = 194row = 89 k = 0
  clo = 194row = 195 k = 0 clo = 195row = 89 k = 0 clo = 195row = 195 k = 0   clo = 196row = 90 k = 0 clo = 196row = 195 k = 0 clo = 197row = 91 k = 0
  clo = 197row = 195 k = 0 clo = 198row = 91 k = 0 clo = 198row = 195 k = 0   clo = 199row = 92 k = 0 clo = 199row = 195 k = 0 clo = 200row = 92 k = 0
  clo = 200row = 195 k = 0 clo = 201row = 93 k = 0 clo = 201row = 195 k = 0   clo = 202row = 94 k = 0 clo = 202row = 195 k = 0 clo = 203row = 95 k = 0
  clo = 203row = 195 k = 0 clo = 204row = 95 k = 0 clo = 204row = 195 k = 0   clo = 205row = 96 k = 0 clo = 205row = 195 k = 0 clo = 206row = 97 k = 0
  clo = 206row = 195 k = 0 clo = 207row = 97 k = 0 clo = 207row = 195 k = 0   clo = 208row = 98 k = 0 clo = 208row = 195 k = 0 clo = 209row = 99 k = 0
  clo = 209row = 195 k = 0 clo = 210row = 100 k = 0 clo = 210row = 195 k = 0   clo = 211row = 101 k = 0 clo = 211row = 195 k = 0 clo = 212row = 101 k = 0   clo = 212row = 195 k = 0 clo = 213row = 102 k = 0 clo = 213row = 195 k = 0   clo = 214row = 103 k = 0 clo = 214row = 195 k = 0 clo = 215row = 104 k = 0   clo = 215row = 195 k = 0 clo = 216row = 105 k = 0 clo = 216row = 195 k = 0   clo = 217row = 106 k = 0 clo = 217row = 195 k = 0 clo = 218row = 107 k = 0   clo = 218row = 195 k = 0 clo = 219row = 108 k = 0 clo = 219row = 195 k = 0   clo = 220row = 109 k = 0 clo = 220row = 195 k = 0 clo = 221row = 110 k = 0   clo = 221row = 195 k = 0 clo = 222row = 111 k = 0 clo = 222row = 195 k = 0   clo = 223row = 112 k = 0 clo = 223row = 195 k = 0 clo = 224row = 113 k = 0   clo = 224row = 195 k = 0 clo = 225row = 195 k = 0 clo = 226row = 195 k = 0   clo = 227row = 195 k = 0 clo = 228row = 195 k = 0 clo = 229row = 194 k = 0   clo = 229row = 195 k = 0

Answer 1

我在C ++中并不习惯OpenCV，我现在无法对其进行测试，但根据文档，您应该像这样访问像素的强度：

Scalar intensity = img.at<uchar>(y, x);

intensity.val [0]则包含0到255之间的灰度值。

也许有帮助

Answer 2

我认为这应该有效，我还没有测试过

int k = (int)img.at<uchar>(j,i);

Answer 3

那是因为你超越了图像范围。你不幸的是你的应用程序没有崩溃（会使它更明显）。你的循环不正确。它应该是＆lt;而不是＆lt; =

for(i=0;i<img.cols;i++)
{
for(j=0;j<img.rows;j++)
{

openCV：试图在二进制图像中找到黑色像素

3 个答案: