// Copy the given image rectangle to Tesseract, with adaptive thresholding
// if the image is not already binary.
void TessBaseAPI::CopyImageToTesseract(const unsigned char* imagedata,
int bytes_per_pixel,
int bytes_per_line,
int left, int top,
int width, int height) {
if (bytes_per_pixel > 0) {
// Threshold grey or color.
int* thresholds = new int[bytes_per_pixel];
int* hi_values = new int[bytes_per_pixel];
// Compute the thresholds.
OtsuThreshold(imagedata, bytes_per_pixel, bytes_per_line,
left, top, left + width, top + height,
thresholds, hi_values);
// Threshold the image to the tesseract global page_image.
ThresholdRect(imagedata, bytes_per_pixel, bytes_per_line,
left, top, width, height,
thresholds, hi_values);
delete [] thresholds;
delete [] hi_values;
} else {
CopyBinaryRect(imagedata, bytes_per_line, left, top, width, height);
}
}
uint Histogram::OtsuThreshold(Image& Source)
{
uint Histogram[256];
Histogram1C(Source, Histogram);
return OtsuThreshold(Histogram, Source.Width() * Source.Height());
}
// Otsu threshold the rectangle, taking everything except the image buffer
// pointer from the class, to the output Pix.
void ImageThresholder::OtsuThresholdRectToPix(const unsigned char* imagedata,
int bytes_per_pixel,
int bytes_per_line,
Pix** pix) const {
int* thresholds;
int* hi_values;
OtsuThreshold(imagedata, bytes_per_pixel, bytes_per_line,
rect_left_, rect_top_, rect_width_, rect_height_,
&thresholds, &hi_values);
// Threshold the image to the given IMAGE.
ThresholdRectToPix(imagedata, bytes_per_pixel, bytes_per_line,
thresholds, hi_values, pix);
delete [] thresholds;
delete [] hi_values;
}
int _tmain(int argc, _TCHAR* argv[])
{
//CvCapture *capture = cvCaptureFromCAM(0);
int t = 10, n=0;
double time = 0;
while(1)
{
clock_t begin=clock();
//------------------------ Original Camera Feed -----------------------------------------//
//IplImage *img = cvQueryFrame(capture);
IplImage *img = cvLoadImage("../../Data/13 Oct/img13.jpg");
//cvNamedWindow("Camera Feed", 0);
//cvShowImage("Camera Feed", img);
//------------------------ Finding Gray Scale Image -------------------------------------//
IplImage *gray = cvCreateImage(cvGetSize(img), 8, 1);
cvCvtColor(img, gray, CV_BGR2GRAY);
//cvReleaseImage(&img);
//------------------------ Removing Salt and Pepper Noise -------------------------------//
//cvSmooth(gray, gray, CV_MEDIAN, 3, 3, 0.0, 0.0); // For really poor images
cvMorphologyEx(gray, gray, NULL, NULL, CV_MOP_OPEN, 1); // Removes Salt Noise
for(int y = 0; y < gray->height; y++){
uchar* ptr = (uchar*) (gray->imageData + y * gray->widthStep); //implement inversion and pepper removal in single pass
for(int x = 0; x < gray->width; x++)
ptr[x] = 255-ptr[x]; // Pepper becomes Salt
}
cvMorphologyEx(gray, gray, NULL, NULL, CV_MOP_OPEN, 1); // Removes Pepper Noise
//------------------------ Finding Gradient Image ---------------------------------------//
int **A = (int **) calloc(gray->height, sizeof(int));
IplImage *gradient = cvCreateImage(cvGetSize(gray), 8, 1);
float min=255, max=0;
for(int i=1; i<gray->height-1; i++)
{
A[i] = (int*) calloc(gray->width, sizeof(int));
uchar* ptr1 = (uchar*) (gray->imageData + (i-1)*gray->widthStep);
uchar* ptr2 = (uchar*) (gray->imageData + i*gray->widthStep);
uchar* ptr3 = (uchar*) (gray->imageData + (i+1)*gray->widthStep);
uchar* ptr = (uchar*) (gradient->imageData + i*gradient->widthStep);
for(int j=1; j<gray->width-1; j++)
{
A[i][j] = (int)ptr1[j] + (int)ptr2[j-1] + (int)(-4)*ptr2[j] + (int)ptr2[j+1] + (int)ptr3[j];
if(A[i][j] <= min)
min = (int)A[i][j];
if(A[i][j] >= max)
max = (int)A[i][j];
}
}
//printf("max:%f min:%f\n", max, min);
int *bins = (int *)calloc(256, sizeof(int));
for(int i=0; i<256; i++)
bins[i] = 0;
for(int i=1; i<gradient->height-1; i++)
{
uchar* ptr = (uchar*) (gradient->imageData + i*gradient->widthStep);
for(int j=1; j<gradient->width-1; j++)
{
ptr[j] = (int)(A[i][j]-min)/(max-min)*255;
bins[ptr[j]]++;
}
free(A[i]);
}
free(A);
//------------ Applying 90 Percentile Threshold to get a Laplacian Edge Mask ------------//
float sum=0;
int pth=255;
float percentile = 10;
while((pth >= 0)&&(sum < gradient->imageSize*percentile/100))
sum += bins[pth--];
//printf("Percentile Threshold:%d\n", pth);
//--------------- Applying the Laplacian Edge Mask to Original Gray Image ---------------//
for(int i=0; i<256; i++)
bins[i] = 0;
for(int y = 0; y < gray->height; y++){
uchar* ptr = (uchar*) (gray->imageData + y * gray->widthStep);
uchar* ptr1 = (uchar*) (gradient->imageData + y * gradient->widthStep);
for(int x = 0; x < gray->width; x++){
if(ptr1[x] > pth){
bins[ptr[x]]++;
}
}
}
cvReleaseImage(&gradient);
//cvReleaseImage(&gray);
//------------- Thresholding the Original Gray Image using The Otsu Threshold -----------//
int threshold = 255-OtsuThreshold(bins, 256);
free(bins);
//------------- Filtering points to get better line fittings ----------------------------//
//img = cvQueryFrame(capture);
//img = cvLoadImage("../../Data/13 Oct/img4.jpg");
//IplImage *otsu = cvCreateImage(cvGetSize(img), 8, 1);
cvCvtColor(img, gray, CV_BGR2GRAY);
//cvReleaseImage(&img);
for(int i=0, d=t; i<gray->height; i++)
{
int flag = 0;
uchar* ptr = (uchar*) (gray->imageData + i*gray->widthStep);
for(int j=0; j<gray->width; j++)
if(ptr[j] > threshold)
ptr[j] = 255;
else
ptr[j] = 0;
for(int x = 0; x < gray->width; x++)
if(ptr[x]==255)
{
for(int i=0; i<d; i++)
ptr[x+i] = 0;
ptr[x+d/2] = 255;
break;
}
}
//---------------------------------- Hough Lines ----------------------------------------//
CvMemStorage* line_storage = cvCreateMemStorage(0);
CvSeq* results = cvHoughLines2(gray, line_storage, CV_HOUGH_PROBABILISTIC, 1, CV_PI/180, 40, 5, 200);
cvReleaseImage(&gray);
printf("lines:%d\tt=%d\n", results->total, t);
float angle = 0.0, temp;
for(int i = 0; i < results->total; i++)
{
CvPoint* line = (CvPoint*)cvGetSeqElem(results, i);
//cvLine(img, line[0], line[1], CV_RGB(255,0,0), 3, CV_AA, 0);
if(line[0].y > line[1].y)
temp = atan((line[0].y - line[1].y + 0.0) / (line[0].x - line[1].x));
else
temp = atan((line[1].y - line[0].y + 0.0) / (line[1].x - line[0].x));
if(temp < 0)
angle += 90 + 180/3.14*temp;
else
angle += 180/3.14*temp - 90;
}
printf("angle: %f\n", angle = angle/results->total);
cvReleaseMemStorage(&line_storage);
//cvNamedWindow("Hough Lines", 0);
//cvShowImage("Hough Lines", img);
send(FORWARD, angle);
clock_t end=clock();
time = diffclock(end,begin);
printf("Time Taken: %f fps\n", 1000/(time));
int c = cvWaitKey(0);
if(c=='a')
t++;
else if(c == 'z')
t--;
else if(c == 'x')
{
send(BRAKE, 0);
break;
}
}
int c = cvWaitKey(0);
return 0;
}