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Removed unused functions from charactersegmenter

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This commit is contained in:
Matt Hill
2014-10-13 22:46:46 -04:00
parent 8e83e43ecb
commit 0d475381e7
2 changed files with 0 additions and 74 deletions
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63
src/openalpr/segmentation/charactersegmenter.cpp
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@@ -957,69 +957,6 @@ void CharacterSegmenter::filterEdgeBoxes(vector<Mat> thresholds, const vector<Re
} }
} }
// TECHNIQUE #2
// Check for tall skinny blobs on the edge boxes. If they're too long and skinny, maks the whole char region
/*
*
float MIN_EDGE_CONTOUR_HEIGHT = avgCharHeight * 0.7;
float MIN_EDGE_CONTOUR_AREA_PCT = avgCharHeight * 0.1;
for (int i = 0; i < thresholds.size(); i++)
{
// Just check the first and last char box. If the contour extends too far above/below the line. Drop it.
for (int boxidx = 0; boxidx < charRegions.size(); boxidx++)
{
if (boxidx != 0 || boxidx != charRegions.size() -1)
{
// This is a middle box. we never want to filter these here.
continue;
}
vector<vector<Point> > contours;
Mat mask = Mat::zeros(thresholds[i].size(),CV_8U);
rectangle(mask, charRegions[boxidx], Scalar(255,255,255), CV_FILLED);
bitwise_and(thresholds[i], mask, mask);
findContours(mask, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
//int tallContourIndex = isSkinnyLineInsideBox(thresholds[i], charRegions[boxidx], allContours[i], hierarchy[i], avgCharWidth, avgCharHeight);
float tallestContourHeight = 0;
float fattestContourWidth = 0;
float biggestContourArea = 0;
for (int c = 0; c < contours.size(); c++)
{
Rect r = boundingRect(contours[c]);
if (r.height > tallestContourHeight)
tallestContourHeight = r.height;
if (r.width > fattestContourWidth)
fattestContourWidth = r.width;
float a = r.area();
if (a > biggestContourArea)
biggestContourArea = a;
}
float minArea = charRegions[boxidx].area() * MIN_EDGE_CONTOUR_AREA_PCT;
if ((fattestContourWidth < MIN_BOX_WIDTH_PX) ||
(tallestContourHeight < MIN_EDGE_CONTOUR_HEIGHT) ||
(biggestContourArea < minArea)
)
{
// Find a good place to MASK this contour.
// for now, just mask the whole thing
if (this->debug)
{
rectangle(imgDbgCleanStages[i], charRegions[boxidx], COLOR_DEBUG_EDGE, 2);
cout << "Edge Filter: threshold " << i << " box " << boxidx << endl;
}
rectangle(thresholds[i], charRegions[boxidx], Scalar(0,0,0), -1);
}
else
{
filteredCharRegions.push_back(charRegions[boxidx]);
}
}
}
*/
} }
int CharacterSegmenter::getLongestBlobLengthBetweenLines(Mat img, int col) int CharacterSegmenter::getLongestBlobLengthBetweenLines(Mat img, int col)

11
src/openalpr/segmentation/charactersegmenter.h
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@@ -63,20 +63,10 @@ class CharacterSegmenter
std::vector<cv::Mat> imgDbgGeneral; std::vector<cv::Mat> imgDbgGeneral;
std::vector<cv::Mat> imgDbgCleanStages; std::vector<cv::Mat> imgDbgCleanStages;
std::vector<bool> filter(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy);
std::vector<bool> filterByBoxSize(std::vector< std::vector<cv::Point> > contours, std::vector<bool> goodIndices, float minHeightPx, float maxHeightPx);
std::vector<bool> filterBetweenLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<cv::Point> outerPolygon, std::vector<bool> goodIndices);
std::vector<bool> filterContourHoles(std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
std::vector<cv::Point> getBestVotedLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<bool> goodIndices);
int getGoodIndicesCount(std::vector<bool> goodIndices);
cv::Mat getCharacterMask(cv::Mat img_threshold, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
cv::Mat getCharBoxMask(cv::Mat img_threshold, std::vector<cv::Rect> charBoxes); cv::Mat getCharBoxMask(cv::Mat img_threshold, std::vector<cv::Rect> charBoxes);
void removeSmallContours(std::vector<cv::Mat> thresholds, std::vector<TextContours> contours, float avgCharWidth, float avgCharHeight); void removeSmallContours(std::vector<cv::Mat> thresholds, std::vector<TextContours> contours, float avgCharWidth, float avgCharHeight);
cv::Mat getVerticalHistogram(cv::Mat img, cv::Mat mask);
std::vector<cv::Rect> getHistogramBoxes(VerticalHistogram histogram, float avgCharWidth, float avgCharHeight, float* score); std::vector<cv::Rect> getHistogramBoxes(VerticalHistogram histogram, float avgCharWidth, float avgCharHeight, float* score);
std::vector<cv::Rect> getBestCharBoxes(cv::Mat img, std::vector<cv::Rect> charBoxes, float avgCharWidth); std::vector<cv::Rect> getBestCharBoxes(cv::Mat img, std::vector<cv::Rect> charBoxes, float avgCharWidth);
std::vector<cv::Rect> combineCloseBoxes( std::vector<cv::Rect> charBoxes, float avgCharWidth); std::vector<cv::Rect> combineCloseBoxes( std::vector<cv::Rect> charBoxes, float avgCharWidth);
@@ -93,7 +83,6 @@ class CharacterSegmenter
int isSkinnyLineInsideBox(cv::Mat threshold, cv::Rect box, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, float avgCharWidth, float avgCharHeight); int isSkinnyLineInsideBox(cv::Mat threshold, cv::Rect box, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, float avgCharWidth, float avgCharHeight);
std::vector<cv::Point> getEncapsulatingLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<bool> goodIndices);
}; };
#endif // OPENALPR_CHARACTERSEGMENTER_H #endif // OPENALPR_CHARACTERSEGMENTER_H