我在函数中传递IplImage *参数时遇到问题。这是一个学校项目,不幸的是我不应该编辑调用我的过滤器功能的文件。在main中,图像作为命令行参数引入,然后复制它并传递给正确的过滤函数,如下:
IplImage * floating = cvCreateImage (cvSize (img->width, img->height), IPL_DEPTH_32F, 3);
cvConvertScale (img, floating, 1/255., 0);
IplImage * filtered;
switch (filter.ImageFormat)
{
case YUV24:
filtered = cvCreateImage (cvSize (floating->width, floating->height), IPL_DEPTH_32F, 3);
cvCvtColor (floating, filtered, CV_BGR2YCrCb);
break;
case BGR24:
filtered = cvCloneImage (floating);
break;
case Gray:
filtered = cvCreateImage (cvSize (floating->width, floating->height), IPL_DEPTH_32F, 1);
cvCvtColor (floating, filtered, CV_BGR2GRAY);
break;
}
cvNamedWindow ("original", CV_WINDOW_AUTOSIZE);
cvShowImage ("original", img);
filter.ImageFilter (filtered, p);
if (filter.ImageFormat == YUV24)
{
cvCvtColor (filtered, filtered, CV_YCrCb2BGR);
}
cvNamedWindow (filterName.c_str(), CV_WINDOW_AUTOSIZE);
cvShowImage (filterName.c_str(), filtered);
以下是我的一个过滤器中的代码:
void median (IplImage * image, int k){
cout << "image address: " << &image << endl;
Mat matImage(image); //convert IplImage to Mat for work
vector<Mat> bgr_channels; //vector to hold each channel
int i,j,m,n; //row/column indeces
int kernelSize = (2*k+1)*(2*k+1);
vector<float> vals(kernelSize); //kernelSized vector to hold all values of image
//within kernel centered at a given pixel
int vecIndex = 0; //then sorted to get the median
int chanIndex = 0; //index used to for each channel
//add padding to account for border issues with convolution
copyMakeBorder( matImage, matImage, k, k, k, k, BORDER_REPLICATE);
//split channes to do work on individual channels
split(matImage, bgr_channels);
for(chanIndex=0; chanIndex < matImage.channels(); chanIndex++){
//outer loop for scanning entire image
for(i=k; i<matImage.rows-k; i++)/*image row index*/{
for(j=k; j<matImage.cols-k; j++)/*image column index*/{
//inner loop for scanning image only in kernel boundaries
vecIndex = 0; //reset vecIndex at start of each kernel loop
for(m=i-k; m<(i+k+1); m++)/*kernel row index*/{
for(n=j-k; n<(j+k+1); n++)/*kernel column index*/{
vals[vecIndex++] = bgr_channels[chanIndex].at<float>(m,n);
}
}
insertionSort(vals, 0, vals.size()-1); //insertion sort from CSCI362 text, see references
bgr_channels[chanIndex].at<float>(i,j) = vals[vals.size()/2]; //new value chosen from middle element //of sorted vector
}
}
}
merge(bgr_channels, matImage); //merge channels together
imshow("Median: Mat", matImage); //left this in becuase the original doesn't seem to get modified
//when converting the Mat back to an IplImage
image = cvCloneImage(&(IplImage)matImage); //convert backto IplImage for DesktopMain
}
问题是,主要显示的过滤图像不反映实际图像。它只显示原始图像。当我输出Mat样式图像matImage在我的过滤器函数中时,它显示过滤后的图像。在我转换回IplImage并将IplImage *输入参数设置为等于转换后的过滤版本之后。但是这些更改并不反映主函数中显示的图像。
这使我很难创建一些其他的滤镜,如Gaussian和Sobel,因为这些滤镜本身在进行操作之前会调用其他函数,而且我没有得到编辑后的数据。在编辑传递的IplImage *变量时,我是否缺少一些东西?
提前感谢您的帮助!
答案 0 :(得分:3)
您的功能永远不会编辑传递给它的图像。
这条线可能是制作图像的副本。
Mat matImage(image); //convert IplImage to Mat for work
然后您的代码会修改matImage
副本。
在函数结束时,该本地副本被销毁,IplImage
指向的image
从未被修改。
修改强> Vaughn Cato的答案具体说明了如何解决这个问题。
答案 1 :(得分:2)
而不是:
image = cvCloneImage(&(IplImage)matImage);
使用它:
cvCopy(&(IplImage)matImage,image);
答案 2 :(得分:0)
要浏览3个通道,您应该使用迭代器:
Mat out;
*********open out********
Mat_<Vec3b>::iterator it = out.begin<Vec3b>();
MatConstIterator_<Vec3b> it_end = out.end<Vec3b>();
for(; it != it_end; ++it)
{
//your 3 channels
(*it)[0] = ...;
(*it)[1] = ....;
(*it)[2] = ......;
}