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Plate lines --Replaced morphological OPEN/CLOSE with adaptivebilateralfilter -- gives us a better image for line detection

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also masking out the entire char region, not just individually detected chars
This commit is contained in:
Matt Hill
2014-04-06 11:53:06 -05:00
parent 831bf8bcf0
commit 34bc0fb72d
1 changed files with 18 additions and 10 deletions
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28
src/openalpr/platelines.cpp
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@@ -40,34 +40,42 @@ void PlateLines::processImage(Mat inputImage, CharacterRegion* charRegion, float
timespec startTime; timespec startTime;
getTime(&startTime); getTime(&startTime);
// Copy the input image over to the "smoothed" image as grayscale
Mat smoothed(inputImage.size(), inputImage.type());
inputImage.copyTo(smoothed);
// Ignore input images that are pure white or pure black // Ignore input images that are pure white or pure black
Scalar avgPixelIntensity = mean(smoothed); Scalar avgPixelIntensity = mean(inputImage);
if (avgPixelIntensity[0] == 255) if (avgPixelIntensity[0] == 255)
return; return;
else if (avgPixelIntensity[0] == 0) else if (avgPixelIntensity[0] == 0)
return; return;
drawAndWait(&smoothed); // Do a bilateral filter to clean the noise but keep edges sharp
Mat smoothed(inputImage.size(), inputImage.type());
adaptiveBilateralFilter(inputImage, smoothed, Size(3,3), 45, 45);
int morph_elem = 2;
int morph_size = 2;
int morph_elem = 1;
int morph_size = 1;
Mat element = getStructuringElement( morph_elem, Size( 2*morph_size + 1, 2*morph_size+1 ), Point( morph_size, morph_size ) ); Mat element = getStructuringElement( morph_elem, Size( 2*morph_size + 1, 2*morph_size+1 ), Point( morph_size, morph_size ) );
/*
morphologyEx( smoothed, smoothed, MORPH_CLOSE, element ); morphologyEx( smoothed, smoothed, MORPH_CLOSE, element );
morph_size = 1; morph_size = 1;
element = getStructuringElement( morph_elem, Size( 2*morph_size + 1, 2*morph_size+1 ), Point( morph_size, morph_size ) ); element = getStructuringElement( morph_elem, Size( 2*morph_size + 1, 2*morph_size+1 ), Point( morph_size, morph_size ) );
morphologyEx( smoothed, smoothed, MORPH_OPEN, element ); morphologyEx( smoothed, smoothed, MORPH_OPEN, element );
*/
Mat edges(inputImage.size(), inputImage.type()); Mat edges(inputImage.size(), inputImage.type());
Canny(smoothed, edges, 66, 133); Canny(smoothed, edges, 66, 133);
// Create a mask that is dilated based on the detected characters // Create a mask that is dilated based on the detected characters
Mat mask = charRegion->charAnalysis->getCharacterMask(); vector<vector<Point> > polygons;
polygons.push_back(charRegion->charAnalysis->charArea);
Mat mask = Mat::zeros(inputImage.size(), CV_8U);
fillPoly(mask, polygons, Scalar(255,255,255));
dilate(mask, mask, element); dilate(mask, mask, element);
bitwise_not(mask, mask); bitwise_not(mask, mask);