我正在尝试打包使用C++
的{{1}}类,以便我可以在OpenCv
中使用它。
我有C#
功能:
C++
当我使用以下void ImageBrightener::BrightenImage(const cv::Mat& sourceImage, cv::Mat& targetImage, int maxTarget)
{
double scaleFactor;
double shiftFactor = 0;
double minVal = DBL_MAX, minValTemp;
double maxVal = -DBL_MAX, maxValTemp;
auto numPixels = 0;
const auto RANGE_TOP_EXTEND = 10;
const auto RANGE_BOTTOM_EXTEND = 7;
assert(sourceImage.type() == CV_8UC1);
assert(sourceImage.channels() == 1);
cv::minMaxIdx(sourceImage, &minValTemp, &maxValTemp);
if (minValTemp < minVal)
minVal = minValTemp;
if (maxValTemp>maxVal)
maxVal = maxValTemp;
numPixels += sourceImage.cols * sourceImage.rows;
if (maxVal == minVal)
{
sourceImage.convertTo(targetImage, CV_8UC1, 1, shiftFactor);
return;
}
// Account for prev/curr ROI differences - add a bit to the range
maxVal += RANGE_TOP_EXTEND;
minVal -= RANGE_BOTTOM_EXTEND;
minVal = std::max(minVal, 0.);
if ((maxVal - minVal) < maxTarget)
{
scaleFactor = maxTarget / (maxVal - minVal);
shiftFactor = -1 * scaleFactor * minVal;
sourceImage.convertTo(targetImage, CV_8UC1, scaleFactor, shiftFactor);
return;
}
auto fltMinVal = static_cast<float>(minVal) - 1;
auto fltMaxVal = static_cast<float>(maxVal) + 1;
// Check histogram
const unsigned int *currval;
#define BINS (100)
#define CUTOFF (0.00003)
#define RESCUTOFF (0.2)
int hist[BINS] = { 0 };
int bin;
numPixels += sourceImage.cols * sourceImage.rows;
for (auto rowIndex = 0; rowIndex < sourceImage.rows; rowIndex++)
{
currval = sourceImage.ptr<unsigned>(rowIndex, 0);
for (auto colIndex = 0; colIndex < sourceImage.cols; colIndex++)
{
bin = static_cast<int>((BINS - 1) * ((*currval - fltMinVal) / (fltMaxVal - fltMinVal)));
assert(bin >= 0 && bin < BINS);
hist[bin]++;
++currval;
}
}
double ratio;
auto sum = 0;
int i;
for (i = BINS - 1; i >= 0; i--)
{
sum += hist[i];
ratio = static_cast<double>(sum) / static_cast<double>(numPixels);
if (ratio > CUTOFF)
break;
}
if (static_cast<double>(BINS - i) / static_cast<double>(BINS) > RESCUTOFF)
fltMaxVal = fltMinVal + ((i + 2)*(fltMaxVal - fltMinVal)) / BINS;
// Account for prev/curr ROI differences - add a bit to the range
fltMaxVal += RANGE_TOP_EXTEND;
fltMinVal -= RANGE_BOTTOM_EXTEND;
fltMinVal = std::max(fltMinVal, 0.f);
scaleFactor = maxTarget / (fltMaxVal - fltMinVal);
shiftFactor = -1 * scaleFactor * fltMinVal;
sourceImage.convertTo(targetImage, CV_8UC1, scaleFactor, shiftFactor);
}
代码测试此代码时:
C++
一切正常,代码完成它应该做的事情,即获得一个黑暗的8位图像,并使其变亮(我尝试用500替换200 - 它工作正常)。 int main()
{
auto* m_imageBrightener = new ImageBrightener();
auto inputImage = cv::imread("E:\\ttt.png", CV_LOAD_IMAGE_UNCHANGED);
cv::Mat outputImage;
m_imageBrightener->BrightenImage(inputImage, outputImage, 2000);
cv::imwrite("E:\\new_ttt.png", outputImage);
}
图片按预期亮了。
另一方面,我有以下new_ttt.png
代码,其中包含/Clr
代码并从中创建C++
:
DLL
有了它,我还有一个array<System::Byte>^ ImageProcessing::ImageBrightenerWrapper::BrightenImage(array<System::Byte>^ sourceImage, int imageWidth, int imageHeight, int maxTarget)
{
array<System::Byte>^ targetImage = (array<System::Byte>^)sourceImage->Clone();
pin_ptr<System::Byte> sourcePointer = &sourceImage[0];
pin_ptr<System::Byte> targetPointer = &targetImage[0];
cv::Mat sourceMat(imageHeight, imageWidth, CV_8UC1, (unsigned short*)sourcePointer);
cv::Mat targetMat(imageHeight, imageWidth, CV_8UC1, (unsigned short*)targetPointer);
targetMat.setTo(0);
m_imageBrightener->BrightenImage(sourceMat, targetMat, maxTarget);
uchar* tempPointer;
for (auto rowIndex = 0; rowIndex < imageHeight; ++rowIndex)
{
tempPointer = targetMat.ptr<uchar>(rowIndex);
for (auto colIndex = 0; colIndex < imageWidth; ++colIndex)
targetImage[rowIndex + colIndex] = tempPointer[colIndex];
}
return targetImage;
}
应用程序,它有一个控制WPF
参数的滑块。
这就是我所面对的:
1)一方面,maxTarget
的0到960之间的任何值都会使匹配maxTarget
的行索引变亮 - 意思是,当我向右滑动滑块时,为了获得更大的值,我将图像的一部分变亮,剩下的就像原始图像一样。 (例如:如果maxTarget / 2
为300,则行#0和行#150之间的所有行都将更亮,其余的将与原始行相似。)
2)另一方面,如果我为maxTarget
960交叉值,那么应用程序崩溃并出现以下错误(即使代码被maxTarget
包围):
“类型异常:'System.AccessViolationException'发生在ImageBrightenerWrapper.dll中,但未在用户代码中处理。附加信息:尝试读取或写入受保护的内存。这表明其他内存是损坏“。
我在这里做错了什么?
答案 0 :(得分:1)
所以我找到了两个主要问题来解决这个问题:
1)我错误地混合了C#
代码中的参数顺序。
2)我不得不更换以下一行:
cv::Mat sourceMat(imageHeight, imageWidth, CV_8UC1, (unsigned short*)sourcePointer);
有了这个:
cv::Mat sourceMat(imageHeight, imageWidth, CV_16UC1, (unsigned short*)sourcePointer);