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读取图像,LUT以及计算耗时
使用LUT(lookup table)检索表的方法,提高color reduce时对像素读取的速度。
实现对Mat对象中数据的读取,并计算color reduce的速度。
1 #include <opencv2/core/core.hpp> 2 #include <opencv2/highgui/highgui.hpp> 3 #include <iostream> 4 #include <sstream> 5 6 using namespace std; 7 using namespace cv; 8 9 static void help(){ 10 cout 11 << "Author: BJTShang" << endl 12 << "2016-12-22, CityU" << endl 13 << "Use: " << "./1222_LUP imageName divideWith [G]" << endl 14 <<endl; 15 } 16 17 Mat& ScanImageAndReduceC(Mat& I, const uchar* table); 18 19 int main(int argc, char** argv){ 20 help(); 21 if(argc<3){ 22 cout << "Not enough parameters!" << endl; 23 return -1; 24 } 25 26 Mat I; 27 char* imageName = argv[1]; 28 if(argc==4 && !strcmp(argv[3],"G")){ 29 I = imread(imageName, CV_LOAD_IMAGE_GRAYSCALE); 30 }else{ 31 I = imread(imageName, CV_LOAD_IMAGE_COLOR); 32 } 33 34 if(!I.data){ 35 cout << "The image" << imageName << " has no data!"; 36 return -1; 37 } 38 39 int divideWith = 0; 40 stringstream s; 41 s << argv[2]; 42 s >> divideWith; 43 if(!s || !divideWith){ 44 cout << "Invalid divideWith, input again (positive integer)!" << endl; 45 return -1; 46 } 47 48 // use this table to search for (by simple assignment) reduced intensity, 49 // instead of calculating for each pixel, which is computational high-cost 50 uchar table[256]; 51 for(int i=0; i < 256; ++i){ 52 table[i] = uchar((i/divideWith)*divideWith); 53 } 54 55 int64 t0 = getTickCount(); 56 Mat J = I.clone(); 57 J = ScanImageAndReduceC(J, table); 58 double t = (double)(getTickCount() - t0)/getTickFrequency(); 59 cout << "Elapse time = " << t*1000 << " ms" <<endl; 60 61 namedWindow("before", CV_WINDOW_AUTOSIZE); 62 namedWindow("after color reduce by LUT", CV_WINDOW_AUTOSIZE); 63 imshow("before", I); 64 imshow("after color reduce by LUT", J); 65 waitKey(0); 66 return 0; 67 } 68 69 Mat& ScanImageAndReduceC(Mat& I, const uchar* table){ 70 CV_Assert(I.depth() == CV_8U); 71 const int channels = I.channels(); 72 73 int nRows = I.rows; 74 int nCols = I.cols*channels; 75 76 if (I.isContinuous()){ 77 nCols *= nRows; 78 nRows = 1; 79 } 80 81 uchar* p = NULL; 82 for(size_t i=0; i<nRows; ++i){ 83 p = I.ptr<uchar>(i); 84 for(size_t j=0; j<nCols; ++j){ 85 p[j] = table[p[j]]; 86 } 87 } 88 return I; 89 }
结果:
读取图像,LUT以及计算耗时
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