0 结果
1 代码
将freeImage转为cv::mat,代码如下:
#include <FreeImage.h>
#include <opencv2\opencv.hpp>
using namespace cv;// #define _CRT_SECURE_NO_WARNINGS
#pragma warning(disable : 4996)
void FI2MAT(FIBITMAP* src, Mat& dst)
{//FIT_BITMAP //standard image : 1 - , 4 - , 8 - , 16 - , 24 - , 32 - bit//FIT_UINT16 //array of unsigned short : unsigned 16 - bit//FIT_INT16 //array of short : signed 16 - bit//FIT_UINT32 //array of unsigned long : unsigned 32 - bit//FIT_INT32 //array of long : signed 32 - bit//FIT_FLOAT //array of float : 32 - bit IEEE floating point//FIT_DOUBLE //array of double : 64 - bit IEEE floating point//FIT_COMPLEX //array of FICOMPLEX : 2 x 64 - bit IEEE floating point//FIT_RGB16 //48 - bit RGB image : 3 x 16 - bit//FIT_RGBA16 //64 - bit RGBA image : 4 x 16 - bit//FIT_RGBF //96 - bit RGB float image : 3 x 32 - bit IEEE floating point//FIT_RGBAF //128 - bit RGBA float image : 4 x 32 - bit IEEE floating pointint bpp = FreeImage_GetBPP(src);FREE_IMAGE_TYPE fit = FreeImage_GetImageType(src);int cv_type = -1;int cv_cvt = -1;switch (fit){case FIT_UINT16: cv_type = DataType<ushort>::type; break;case FIT_INT16: cv_type = DataType<short>::type; break;case FIT_UINT32: cv_type = DataType<unsigned>::type; break;case FIT_INT32: cv_type = DataType<int>::type; break;case FIT_FLOAT: cv_type = DataType<float>::type; break;case FIT_DOUBLE: cv_type = DataType<double>::type; break;case FIT_COMPLEX: cv_type = DataType<Complex<double>>::type; break;case FIT_RGB16: cv_type = DataType<Vec<ushort, 3>>::type; cv_cvt = COLOR_RGB2BGR; break;case FIT_RGBA16: cv_type = DataType<Vec<ushort, 4>>::type; cv_cvt = COLOR_RGBA2BGRA; break;case FIT_RGBF: cv_type = DataType<Vec<float, 3>>::type; cv_cvt = COLOR_RGB2BGR; break;case FIT_RGBAF: cv_type = DataType<Vec<float, 4>>::type; cv_cvt = COLOR_RGBA2BGRA; break;case FIT_BITMAP:switch (bpp) {case 8: cv_type = DataType<Vec<uchar, 1>>::type; break;case 16: cv_type = DataType<Vec<uchar, 2>>::type; break;case 24: cv_type = DataType<Vec<uchar, 3>>::type; break;case 32: cv_type = DataType<Vec<uchar, 4>>::type; break;default:// 1, 4 // Unsupported nativelycv_type = -1;}break;default:// FIT_UNKNOWN // unknown typedst = Mat(); // return empty Matreturn;}int width = FreeImage_GetWidth(src);int height = FreeImage_GetHeight(src);int step = FreeImage_GetPitch(src);if (cv_type >= 0) {dst = Mat(height, width, cv_type, FreeImage_GetBits(src), step);if (cv_cvt > 0){cvtColor(dst, dst, cv_cvt);}}else {std::vector<uchar> lut;int n = pow(2, bpp);for (int i = 0; i < n; ++i){lut.push_back(static_cast<uchar>((255 / (n - 1))*i));}FIBITMAP* palletized = FreeImage_ConvertTo8Bits(src);BYTE* data = FreeImage_GetBits(src);for (int r = 0; r < height; ++r) {for (int c = 0; c < width; ++c) {dst.at<uchar>(r, c) = saturate_cast<uchar>(lut[data[r*step + c]]);}}}flip(dst, dst, 0);
}int main()
{FreeImage_Initialise();// std::string imgPath = "F:/cppTry/index3.png";std::string imgPath = "F:/cppTry/ger.JPG";FREE_IMAGE_FORMAT format = FreeImage_GetFileType(imgPath.c_str(), 0);FIBITMAP* fi_image = FreeImage_Load(format, imgPath.c_str());Mat cvImg2;FI2MAT(fi_image, cvImg2);cvNamedWindow("Image1:",1);cv::imshow("Image1:",cvImg2);// imshow(cv_img);IplImage *img = cvLoadImage(imgPath.c_str());cvNamedWindow("Image2:",1);cvShowImage("Image2:", img);std::cout << "[free's conv]: type is: " << FreeImage_GetColorType(fi_image) << "\n";std::cout << "[free's conv]: depth is: " << FreeImage_GetBPP(fi_image) << "\n";std::cout << "[free's conv]: pitch is: " << FreeImage_GetPitch(fi_image) << "\n";std::cout << "[cv2 conv]: type is: " << "/" << cvImg2.type() << "\n";std::cout << "[cv2 conv]: depth is: " << "/" << cvImg2.depth() << "\n";std::cout << "[cv2 conv]: channel is: " << "/" << cvImg2.channels() << "\n";std::cout << "[cv2 conv]: elem size is: " << "/" << cvImg2.elemSize() << "\n";cvWaitKey();cvDestroyWindow("Image:");return 0;
}
2 将1通道转为3通道
void convert1to3Channel(cv::Mat& src, cv::Mat& dst) {vector<cv::Mat> channels;for (int i = 0; i < 3; i++) {channels.push_back(src);}cv::merge(&channels[0], channels.size(), dst);}