最近这两天一直在研究命令行参数的编译,现代吗如下:
#include <highgui.h> #include <math.h> #include <cv.h> IplImage *Igray = 0, *It = 0, *Iat; int main( int argc, char** argv ) { //输入命令行 double threshold = (double)atof( argv[1] ); //convert string to double int threshold_type = atoi( argv[2] ) ? CV_THRESH_BINARY : CV_THRESH_BINARY_INV; int adaptive_method = atoi( argv[3] ) ? CV_ADAPTIVE_THRESH_MEAN_C : CV_ADAPTIVE_THRESH_GAUSSIAN_C; int block_size = atoi( argv[4] ); double offset = (double)atof( argv[5] ); //加载灰度图 if( ( Igray = cvLoadImage( argv[6], CV_LOAD_IMAGE_GRAYSCALE ) ) == 0 ) { return -1; } //创建同样大小8位灰度图用于输出 It = cvCreateImage( cvSize( Igray -> width, Igray -> height ), IPL_DEPTH_8U, 1 ); //单通道8位灰度图 Iat = cvCreateImage( cvSize( Igray -> width, Igray -> height ), IPL_DEPTH_8U, 1 ); //阈值化 cvThreshold( Igray, It, threshold, 255, threshold_type ); cvAdaptiveThreshold( Igray, Iat, 255, adaptive_method, threshold_type, block_size, offset ); //命名窗体输出 cvNamedWindow( "Raw", 1 ); cvNamedWindow( "Threshold", 1 ); cvNamedWindow( "Adaptive Threshold", 1 ); cvShowImage( "Raw", Igray ); cvShowImage( "Threshold", It ); cvShowImage( "Adaptive Threshold", Iat ); cvWaitKey(0); //回收内存 cvReleaseImage( &Igray ); cvReleaseImage( &It ); cvReleaseImage( &Iat ); cvDestroyWindow( "Raw" ); cvDestroyWindow( "Threshold" ); cvDestroyWindow( "Adaptive Threshold" ); return 0; }
上述代码是二值化和自适应二值化的比较,在该工程文件夹同级目录下面的Debug文件找到 自适应阈值.exe 文件,然后打开命令行提示符,针对上述文件可进行下面操作:
1,首先进到Debug文件,找到.exe文件,如D:myopencvopencvCodeOpencvDebug
2,在命令行输入下面:
D:myopencvopencvCodeOpencvDebug>自适应阈值.exe 15 1 1 71 15 D:myopencvopencvCodeOpencv自适应阈值2.jpg
3,结果如下:
简单的和大家分享一下。