基于opencv的摄像头清晰度检测

#include <stdio.h> #include <stdlib.h> #include <ctype.h> #include <iostream> #include "highgui.h" #include "cvaux.h" IplImage* praw; //检测模糊度 值越大越模糊 输入为灰度图 具体阈值根据实际情况决定 int VideoBlurDetect(IplImage* data) { //图片每行字节数及高 int width=data->widthStep; int height=data->height; ushort* sobelTable = new ushort[width*height]; memset(sobelTable, 0, width*height*sizeof(ushort)); int i, j, mul; //指向图像首地址 uchar* udata = (uchar*)data->imageData; for(i = 1, mul = i*width; i < height - 1; i++, mul += width) for(j = 1; j < width - 1; j++) sobelTable[mul+j]=abs(udata[mul+j-width-1] + 2*udata[mul+j-1] + udata[mul+j-1+width] -\ udata[mul+j+1-width] - 2*udata[mul+j+1] - udata[mul+j+width+1]); for(i = 1, mul = i*width; i < height - 1; i++, mul += width) for(j = 1; j < width - 1; j++) if(sobelTable[mul+j] < 50 || sobelTable[mul+j] <= sobelTable[mul+j-1] ||\ sobelTable[mul+j] <= sobelTable[mul+j+1]) sobelTable[mul+j] = 0; int totLen = 0; int totCount = 1; uchar suddenThre = 50; uchar sameThre = 3; //遍历图片 for(i = 1, mul = i*width; i < height - 1; i++, mul += width) { for(j = 1; j < width - 1; j++) { if(sobelTable[mul+j]) { int count = 0; uchar tmpThre = 5; uchar max = udata[mul+j] > udata[mul+j-1] ? 0 : 1; for(int t = j; t > 0; t--) { count++; if(abs(udata[mul+t] - udata[mul+t-1]) > suddenThre) break; if(max && udata[mul+t] > udata[mul+t-1]) break; if(!max && udata[mul+t] < udata[mul+t-1]) break; int tmp = 0; for(int s = t; s > 0; s--) { if(abs(udata[mul+t] - udata[mul+s]) < sameThre) { tmp++; if(tmp > tmpThre) break; } else break; } if(tmp > tmpThre) break; } max = udata[mul+j] > udata[mul+j+1] ? 0 : 1; for(int t = j; t < width; t++) { count++; if(abs(udata[mul+t] - udata[mul+t+1]) > suddenThre) break; if(max && udata[mul+t] > udata[mul+t+1]) break; if(!max && udata[mul+t] < udata[mul+t+1]) break; int tmp = 0; for(int s = t; s < width; s++) { if(abs(udata[mul+t] - udata[mul+s]) < sameThre) { tmp++; if(tmp > tmpThre) break; } else break; } if(tmp > tmpThre) break; } count--; totCount++; totLen += count; } } } //模糊度 float result = (float)totLen/totCount; delete[] sobelTable; //阈值具体情况 具体定 if(result >5) { return 1; }else{ return 0; } } //颜色一样返回1 否则返回0 输入为灰度图 int VideoColorDetect(IplImage* src) { //图片高和宽 int width = src->width; int height = src->height; uchar *ptr = (uchar*)src->imageData; int step = src->widthStep/sizeof(uchar); int Iij = 0; int Imax = 0, Imin = 255; //遍历图片像素 取最大值，最小值 for(int i=0;i<height;i++) { for(int j=0;j<width;j++) { Iij = (int) ptr[i*step+j]; if(Iij > Imax) Imax = Iij; if(Iij < Imin) Imin = Iij; // Iave = Iave + Iij; } } //判断条件 根据实际情况调试 if ((Imax-Imin)<3) { return 1; }else{ return 0; } } void main() { IplImage* praw=cvLoadImage("nongfu.png",CV_LOAD_IMAGE_GRAYSCALE); int fuzzy = VideoBlurDetect(praw); int flag = VideoColorDetect(praw); printf("diff = %d\n",fuzzy); printf("diff = %d\n",flag); cvNamedWindow("Example",CV_WINDOW_AUTOSIZE); cvShowImage("Example",praw); cvWaitKey(0); cvReleaseImage(&praw); cvDestroyWindow("Example"); }