缩放像素的图像使用opencv库和c++

我正在尝试使用OpenCV 2.4.5和Visual Studio 2010 Express创建简单的1D条形码阅读器。

//define Image path:
char* imageName = "D:\Barcode Reader\test3.jpg";
cv::Mat src = cv::imread(imageName);
if( !src.data )
{ return -1; }
//convert image to grayscale img:    
cv::Mat gray_image;
cvtColor (src, gray_image, CV_BGR2GRAY);
unsigned char color;
unsigned char next_black_color = 0;
unsigned char next_white_color = 0;
int buffer[500];
float factor = (float)gray_image.cols / (float)required_width;
//start to search for pixels from left to right (in the middle of the img):
unsigned char *position  = gray_image.ptr(gray_image.rows/2,0);
//iterate through the whole image length:
for (int col = 1; col <= gray_image.cols; col++)
{   
//...and store the pixel value in color variable for possible output (which would be like 0-127 for black colors and 127-255 for white colors:
    color = *position;
    position++;
//check the pixel value ( < 127 everything bellow has dark color):
    if (color < 127)
{
//...and after each position checked, go to next pixel and save the number of occurences of black pixels:
        next_black_color++;
        buffer[col] = next_black_color;
        std::cout << col << ": " << buffer[col] << " ";
}
else
{
//set the counter variable to null for the next occurence of black pixel:
        next_black_color = 0;
}
//the same goes for white pixels:
    if (color > 127)
{   
    next_white_color++;
    buffer[col] = next_white_color;
    std::cout << col << ": " << buffer[col] << " ";
}
else
{
    next_white_color = 0;
}
}
//show the results:
std::cout<<" Number of pixels in width = " << src.cols << std::endl <<
"Number of pixels in height = " << src.rows << std::endl;
cv::imshow("Normal Image", src);
cv::imshow("Gray Image", gray_image);
cv::waitKey(0);
return 0;

测试图像为100x100px图像，黑白像素按顺序排列(为便于理解，将其描述为二进制代码:1=黑色，0=白色)10100 & lt; . .白色像素. .> 00101

我这样做的原因很简单…

假设我有一个UPC条形码，它可以是81像素长。然而，我加载的图像长度超过1000像素。

要应用检测并将加载的图像与UPC模式进行比较，我必须首先缩放加载的图像以纠正像素值。(我用"规模"这个词…因为如果我只是"调整"我的图像大小…它将截断919个像素，使检测不可能。)

• 我知道加载的图像是因子12,34到UPC模式(接近12....我现在不在乎正确的数值了……我所关心的是目前的实现…)

  • 所以为了实现缩放，我必须计算每个黑白像素的出现次数，保存在一个数组中，然后除以我的因子得到缩放后的值。

使用这个实现我面临以下问题:

将按如下方式存储:

____[Array]____
Position | Occurence
1 ......... 1 (First position with first black pixel)
2 ......... 1 (white)
3 ......... 1 (black)
4 ......... 1 (white pixels until next black pixel appears..)
5 ......... 2 (___Problem here!___ ... should be 94!)
6 ......... 3          .
. ......... .          .
100 ....... 100(end)

但应该是:

____[Array]____
Position | Occurence
1 ......... 1  (First position with first black pixel)
2 ......... 1  (white)
3 ......... 1  (black)
4 ......... 94 (count all white pixels until black appears again)
5 ......... 1  (black)
6 ......... 1  (white)
7 ......... 1  (black) -> end

我希望我能提供足够的信息。

请帮我改正我的代码。致以最亲切的问候Ondrej