Image Fuzzy Recognition c ++ code based on opecv 3.1, opecv3.1

Image Fuzzy Recognition c ++ code based on opecv 3.1, opecv3.1

For opencv3.1 + windows10 + vs2015 configuration, see the article

How to configure Opencv3.1.0 in vs2015 in win10 (transfer)

The Code has been tested, and the recognition is extremely high. There are 50 million images and the recognition rate is over 90%.

If you can combine the Microsoft Oxford program's api to identify picture items https://www.azure.cn/projectoxford/demo/vision#Ocr

#include <stdio.h>#include <stdlib.h>#include <ctype.h>#include <iostream>#include "highgui.h"#include "cvaux.h"IplImage* praw;float VideoBlurDetect(IplImage* data){    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;    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;    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;            }        }    }    float result = (float)totLen/totCount;    delete[] sobelTable;    return result;}int main(){        //CvCapture* cvCreateCameraCapture(-1);            float re;    IplImage* praw=cvLoadImage("d:/123.jpg",CV_LOAD_IMAGE_GRAYSCALE);     re=VideoBlurDetect(praw);    std::cout<<re;    cvNamedWindow("Example",CV_WINDOW_AUTOSIZE);    cvShowImage("Example",praw);    cvWaitKey(0);    cvReleaseImage(&praw);    cvDestroyWindow("Example");    return 0;}