最近这两天一直在研究命令行参数的编译，现代吗如下：
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#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:\myopencv\opencv\Code\Opencv\Debug
2，在命令行输入下面：
D:\myopencv\opencv\Code\Opencv\Debug>自适应阈值.exe 15 1 1 71 15 D:\myopencv\opencv\Code\Opencv\自适应阈值\2.jpg
3，结果如下：
简单的和大家分享一下。
原文：http://www.cnblogs.com/huige728/p/3596235.html