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我正在尝试在 3 通道彩色图像上运行 kmeans,但每次我尝试运行该函数时,它似乎都会因以下错误而崩溃:

OpenCV Error: Assertion failed (data.dims <= 2 && type == CV_32F && K > 0) in unknown function, file ..\..\..\OpenCV-2.3.0\modules\core\src\matrix.cpp, line 2271

我在下面的代码中包含了一些注释,以帮助指定传入的内容。非常感谢任何帮助。

// Load in an image
// Depth: 8, Channels: 3
IplImage* iplImage = cvLoadImage("C:/TestImages/rainbox_box.jpg");

// Create a matrix to the image
cv::Mat mImage = cv::Mat(iplImage);

// Create a single channel image to create our labels needed
IplImage* iplLabels = cvCreateImage(cvGetSize(iplImage), iplImage->depth, 1);

// Convert the image to grayscale
cvCvtColor(iplImage, iplLabels, CV_RGB2GRAY);

// Create the matrix for the labels
cv::Mat mLabels = cv::Mat(iplLabels);

// Create the labels
int rows = mLabels.total();
int cols = 1;
cv::Mat list(rows, cols, mLabels .type());
uchar* src;
uchar* dest = list.ptr(0);
for(int i=0; i<mLabels.size().height; i++) 
{
    src = mLabels.ptr(i);
    memcpy(dest, src, mLabels.step);
    dest += mLabels.step;
}
list.convertTo(list, CV_32F);

// Run the algorithm
cv::Mat labellist(list.size(), CV_8UC1);
cv::Mat centers(6, 1, mImage.type());
cv::TermCriteria termcrit(CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 10, 1.0);
kmeans(mImage, 6, labellist, termcrit, 3, cv::KMEANS_PP_CENTERS, centers);
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1 回答 1

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错误说明了一切Assertion failed (data.dims <= 2 && type == CV_32F && K > 0)

这些规则很容易理解,该功能仅在以下情况下才起作用:

  • mImage.depth()CV_32F

  • 如果mImage.dims<= 2

  • 如果K > 0. 在这种情况下,您定义K6

从你对这个问题的陈述来看,似乎:

IplImage* iplImage = cvLoadImage("C:/TestImages/rainbox_box.jpg");` 

默认情况下加载图像IPL_DEPTH_8U而不是IPL_DEPTH_32F. 这意味着mImageis also IPL_DEPTH_8U,这就是您的代码无法正常工作的原因。

于 2011-08-10T19:46:00.887 回答