CUDA和OpenCV混合編程，使用CUDA的紋理內存，實現圖像的二值化以及濾波功能。

#include <cuda_runtime.h> #include <highgui/highgui.hpp>#include <imgPRoc/imgproc.hpp>using namespace cv;int width = 512;int height = 512;// 2維紋理texture<float, 2, cudaReadModeElementType> texRef;// 核函數__global__ void transformKernel(uchar* output, int width, int height){	// 根據tid bid計算歸一化的拾取坐標	unsigned int x = blockIdx.x * blockDim.x + threadIdx.x;	unsigned int y = blockIdx.y * blockDim.y + threadIdx.y;	float u = x / (float)width;	float v = y / (float)height;	//從紋理存儲器中拾取數據，并寫入顯存	output[(y * width + x)] = tex2D(texRef, u / 4, v / 4);}int main(){	// 分配CUDA數組	cudaChannelFormatDesc channelDesc = cudaCreateChannelDesc(32, 0, 0, 0, cudaChannelFormatKindFloat);	cudaArray* cuArray;	cudaMallocArray(&cuArray, &channelDesc, width, height);	//使用OpenCV讀入圖像	Mat image = imread("D://lena.jpg", 0);	resize(image, image, Size(width, height));	imshow("原始圖像", image);	cudaMemcpyToArray(cuArray, 0, 0, image.data, width*height, cudaMemcpyHostToDevice);	// 設置紋理屬性	texRef.addressMode[0] = cudaAddressModeWrap; //循環尋址方式	texRef.addressMode[1] = cudaAddressModeWrap;	texRef.filterMode = cudaFilterModeLinear;   //線性濾波	texRef.normalized = true; //歸一化坐標							 	//綁定紋理	cudaBindTextureToArray(texRef, cuArray, channelDesc);	Mat imageOutput = Mat(Size(width, height), CV_8UC1);	uchar * output = imageOutput.data;	cudaMalloc((void**)&output, width * height * sizeof(float));	dim3 dimBlock(16, 16);	dim3 dimGrid((width + dimBlock.x - 1) / dimBlock.x, (height + dimBlock.y - 1) / dimBlock.y);	transformKernel << <dimGrid, dimBlock >> > (output, width, height);	cudaMemcpy(imageOutput.data, output, height*width, cudaMemcpyDeviceToHost);	imshow("CUDA+OpenCV濾波", imageOutput);	waitKey();	cudaFreeArray(cuArray);	cudaFree(output);}
原始lena圖像：
運行效果：