// test positions
static double test_left, test_right;
+// Canny Edge algorithm variables
+int edgeThresh = 1;
+int lowThreshold;
+int const max_lowThreshold = 100;
+int ratio = 3;
+int kernel_size = 3;
+
/** Buffer for storing image data. Stored as a **/
-static CvMat * g_data = NULL;
+static CvMat * g_srcRGB = NULL; // Source Image
+static CvMat * g_srcGray = NULL; // Gray scale of source image
+static CvMat * g_edges = NULL; // Detected Edges
+static CvMat * g_data = NULL; // Image to mask edges onto
/** Camera capture pointer **/
void Dilatometer_TestImage()
{
- CvMat *g_dataRGB;
- g_dataRGB = cvCreateMat(480, 640, CV_8UC3);
+ g_srcRGB = cvCreateMat(480, 640, CV_8UC3);
for( int x = 0; x < 640; ++x)
{
else
s.val[i] *= exp( (test_right - x) / 25);
}
- cvSet2D(g_dataRGB,y,x,s);
+ cvSet2D(g_srcRGB,y,x,s);
// if( s.val[0] > 200)
// printf("row: %d, col: %d, %f\n", y, x, s.val[0]);
}
}
if (g_data == NULL)
{
- g_data = cvCreateMat(g_dataRGB->rows,g_dataRGB->cols,CV_8UC1); //IPL_DEPTH_8U?
+ g_data = cvCreateMat(g_srcRGB->rows,g_srcRGB->cols,CV_8UC1); //IPL_DEPTH_8U?
}
- cvCvtColor(g_dataRGB,g_data,CV_RGB2GRAY);
+ cvCvtColor(g_srcRGB,g_data,CV_RGB2GRAY);
}
/**
//Need to implement camera
}
+void CannyThreshold()
+{
+
+ if (g_data == NULL)
+ {
+ g_data = cvCreateMat(g_srcGray->rows,g_srcGray->cols,CV_8UC1);
+ }
+
+ if ( g_edges == NULL)
+ {
+ g_edges = cvCreateMat(g_srcGray->rows,g_srcGray->cols,CV_8UC1);
+ }
+
+ //g_data = 0;
+ cvShowImage("display", g_srcGray);
+ cvWaitKey(0);
+ // Reduce noise with a kernel 3x3. Input the grayscale source image, output to edges. (0's mean it's determined from kernel sizes)
+ cvSmooth( g_srcGray, g_edges, CV_GAUSSIAN, 9, 9 ,0 ,0 );
+
+ cvShowImage("display", g_edges);
+ cvWaitKey(0);
+
+ // Find the edges in the image
+ cvCanny( g_edges, g_edges, lowThreshold, lowThreshold*ratio, kernel_size );
+
+ cvShowImage("display", g_edges);
+ cvWaitKey(0);
+
+ // Mask the edges over G_data
+ //.copyTo( g_data, g_edges);
+}
+
// Test algorithm
static void Dilatometer_GetImageTest( )
{
- //Test image
- Dilatometer_TestImage();
+ //Generates Test image
+ //Dilatometer_TestImage();
+
+ //Load Test image
+ g_srcGray = cvLoadImageM ("testimage.jpg",CV_LOAD_IMAGE_GRAYSCALE );
+ CannyThreshold();
}
* @returns the average width of the can
*/
double Dilatometer_Read(int samples)
-{
+{
//Get the latest image
//Dilatometer_GetImage();
Dilatometer_GetImageTest();
- int width = g_data->cols;
- int height = g_data->rows;
+ int width = g_srcGray->cols;
+ int height = g_srcGray->rows;
// If the number of samples is greater than the image height, sample every row
if( samples > height)
{
sample_height = ceil(height * (i + 1) / samples) -1;
//printf("sample height is %d\n", sample_height);
- //CvScalar test = cvGet2D(g_data, 150,300);
+ //CvScalar test = cvGet2D(g_srcGray, 150,300);
//printf("test is %f,%f,%f,%f\n", test.val[0], test.val[1], test.val[2], test.val[3]);
for ( int col = 0; col < width; col++)
{
- CvScalar value = cvGet2D(g_data, sample_height, col);
+ CvScalar value = cvGet2D(g_srcGray, sample_height, col);
if( value.val[0]> THRES)
{
edges[pos] += (double) col;
test_right = 500;
Dilatometer_Init();
- cvNamedWindow( "display", CV_WINDOW_AUTOSIZE);
- cvShowImage("display", g_data);
- cvWaitKey(0);
+// cvNamedWindow( "display", CV_WINDOW_AUTOSIZE);
+// cvShowImage("display", g_data);
+// cvWaitKey(0);
double width;
- for( int i = 0; i < 20; ++i)
+ /*for( int i = 0; i < 20; ++i)
{
test_left -= i * (rand() % 1000) * 1e-3;
test_right += i * (rand() % 1000) * 1e-3;
width = Dilatometer_Read(5);
cvNamedWindow( "display", CV_WINDOW_AUTOSIZE);
- cvShowImage("display", g_data);
+ cvShowImage("display", g_srcGray);
cvWaitKey(0);
double expected = test_right - test_left;
double perc = 100 * (expected - width) / expected;
printf("%d: Left: %.4f. Width: %.4f.\n Right: %.4f. Expected: %.4f. Percentage: %.4f\n", i, test_left, width, test_right, expected, perc);
- }
+ }*/
}