Added high-contrast detection and edge finder

This commit is contained in:
Matt Hill
2016-03-07 12:59:30 -05:00
parent 78f6fb2b41
commit 8972e6373d
2 changed files with 217 additions and 22 deletions

View File

@@ -40,18 +40,46 @@ namespace alpr
std::vector<cv::Point2f> EdgeFinder::findEdgeCorners() {
return normalDetection();
bool high_contrast = is_high_contrast(pipeline_data->crop_gray);
vector<Point2f> returnPoints;
if (high_contrast)
{
// Try a high-contrast pass first. If it doesn't return anything, try a normal detection
returnPoints = detection(true);
}
if (!high_contrast || returnPoints.size() == 0)
{
returnPoints = detection(false);
}
return returnPoints;
}
vector<cv::Point2f> EdgeFinder::normalDetection() {
std::vector<cv::Point2f> EdgeFinder::detection(bool high_contrast) {
TextLineCollection tlc(pipeline_data->textLines);
vector<Point> corners;
// If the character segment is especially small, just expand the existing box
// If it's a nice, long segment, then guess the correct box based on character height/position
if (tlc.longerSegment.length > tlc.charHeight * 3)
if (high_contrast)
{
int expandX = (int) ((float) pipeline_data->crop_gray.cols) * 0.5f;
int expandY = (int) ((float) pipeline_data->crop_gray.rows) * 0.5f;
int w = pipeline_data->crop_gray.cols;
int h = pipeline_data->crop_gray.rows;
corners.push_back(Point(-1 * expandX, -1 * expandY));
corners.push_back(Point(expandX + w, -1 * expandY));
corners.push_back(Point(expandX + w, expandY + h));
corners.push_back(Point(-1 * expandX, expandY + h));
}
else if (tlc.longerSegment.length > tlc.charHeight * 3)
{
float charHeightToPlateWidthRatio = pipeline_data->config->plateWidthMM / pipeline_data->config->avgCharHeightMM;
@@ -92,10 +120,7 @@ namespace alpr
corners.push_back(Point(expandX + w, expandY + h));
corners.push_back(Point(-1 * expandX, expandY + h));
// for (int i = 0; i < 4; i++)
// {
// std::cout << "CORNER: " << corners[i].x << " - " << corners[i].y << std::endl;
// }
}
// Re-crop an image (from the original image) using the new coordinates
@@ -124,14 +149,16 @@ namespace alpr
newLines.push_back(TextLine(textAreaRemapped, linePolygonRemapped, newCrop.size()));
}
// Find the PlateLines for this crop
PlateLines plateLines(pipeline_data);
plateLines.processImage(newCrop, newLines, 1.05);
// Get the best corners
PlateCorners cornerFinder(newCrop, &plateLines, pipeline_data, newLines);
vector<Point> smallPlateCorners = cornerFinder.findPlateCorners();
vector<Point> smallPlateCorners;
if (high_contrast)
{
smallPlateCorners = highContrastDetection(newCrop, newLines);
}
else
{
smallPlateCorners = normalDetection(newCrop, newLines);
}
// Transform the best corner points back to the original image
std::vector<Point2f> imgArea;
@@ -141,14 +168,178 @@ namespace alpr
imgArea.push_back(Point2f(0, newCrop.rows));
Mat newCropTransmtx = imgTransform.getTransformationMatrix(imgArea, remappedCorners);
vector<Point2f> cornersInOriginalImg = imgTransform.remapSmallPointstoCrop(smallPlateCorners, newCropTransmtx);
vector<Point2f> cornersInOriginalImg;
if (smallPlateCorners.size() > 0)
cornersInOriginalImg = imgTransform.remapSmallPointstoCrop(smallPlateCorners, newCropTransmtx);
return cornersInOriginalImg;
}
vector<cv::Point2f> EdgeFinder::highContrastDetection() {
vector<Point2f> cornersInOriginalImg;
return cornersInOriginalImg;
vector<cv::Point> EdgeFinder::normalDetection(Mat newCrop, vector<TextLine> newLines)
{
// Find the PlateLines for this crop
PlateLines plateLines(pipeline_data);
plateLines.processImage(newCrop, newLines, 1.05);
// Get the best corners
PlateCorners cornerFinder(newCrop, &plateLines, pipeline_data, newLines);
return cornerFinder.findPlateCorners();
}
vector<cv::Point> EdgeFinder::highContrastDetection(Mat newCrop, vector<TextLine> newLines) {
vector<Point> smallPlateCorners;
if (pipeline_data->config->debugGeneral)
std::cout << "Performing high-contrast edge detection" << std::endl;
// Do a morphology operation. Find the biggest white rectangle that fit most of the char area.
int morph_size = 3;
Mat closureElement = getStructuringElement( 2, // 0 Rect, 1 cross, 2 ellipse
Size( 2 * morph_size + 1, 2* morph_size + 1 ),
Point( morph_size, morph_size ) );
morphologyEx(newCrop, newCrop, MORPH_CLOSE, closureElement);
morphologyEx(newCrop, newCrop, MORPH_OPEN, closureElement);
Mat thresholded_crop;
threshold(newCrop, thresholded_crop, 80, 255, cv::THRESH_OTSU);
vector<vector<Point> > contours;
findContours(thresholded_crop, contours, RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE );
float MIN_AREA = 0.05 * newCrop.cols * newCrop.rows;
for (unsigned int i = 0; i < contours.size(); i++)
{
if (contourArea(contours[i]) < MIN_AREA)
continue;
vector<Point> smoothedPoints;
approxPolyDP(contours[i], smoothedPoints, 1, true);
RotatedRect rrect = minAreaRect(smoothedPoints);
Point2f rect_points[4];
rrect.points(rect_points);
vector<Point> sorted_polygon_points = sortPolygonPoints(rect_points, newCrop.size());
float polygon_width = (distanceBetweenPoints(sorted_polygon_points[0], sorted_polygon_points[1]) +
distanceBetweenPoints(sorted_polygon_points[3], sorted_polygon_points[2])) / 2;
float polygon_height = (distanceBetweenPoints(sorted_polygon_points[2], sorted_polygon_points[1]) +
distanceBetweenPoints(sorted_polygon_points[3], sorted_polygon_points[0])) / 2;
// If it touches the edges, disqualify it
// Create an inner rect, and test to make sure all the points are within it
int x_offset = newCrop.cols * 0.1;
int y_offset = newCrop.rows * 0.1;
Rect insideRect(Point(x_offset, y_offset), Point(newCrop.cols - x_offset, newCrop.rows - y_offset));
bool isoutside = false;
for (unsigned int ptidx = 0; ptidx < sorted_polygon_points.size(); ptidx++)
{
if (!insideRect.contains(sorted_polygon_points[ptidx]))
isoutside = true;
}
if (isoutside)
continue;
// If the center is not centered, disqualify it
float MAX_CLOSENESS_TO_EDGE_PERCENT = 0.2;
if (rrect.center.x < (newCrop.cols * MAX_CLOSENESS_TO_EDGE_PERCENT) ||
rrect.center.x > (newCrop.cols - (newCrop.cols * MAX_CLOSENESS_TO_EDGE_PERCENT)) ||
rrect.center.y < (newCrop.rows * MAX_CLOSENESS_TO_EDGE_PERCENT) ||
rrect.center.y > (newCrop.rows - (newCrop.rows * MAX_CLOSENESS_TO_EDGE_PERCENT)))
{
continue;
}
// Make sure the aspect ratio is somewhat close to a license plate.
float aspect_ratio = polygon_width / polygon_height;
float ideal_aspect_ratio = pipeline_data->config->plateWidthMM / pipeline_data->config->plateHeightMM;
float ratio = ideal_aspect_ratio / aspect_ratio;
if (ratio > 2 || ratio < 0.5)
continue;
// Make sure that the text line(s) are contained within it
Rect rect_cover = rrect.boundingRect();
for (unsigned int linenum = 0; linenum < newLines.size(); linenum++)
{
for (unsigned int r = 0; r < newLines[linenum].textArea.size(); r++)
{
if (!rect_cover.contains(newLines[linenum].textArea[r]))
{
isoutside = true;
break;
}
}
}
if (isoutside)
continue;
for (int ridx = 0; ridx < 4; ridx++)
smallPlateCorners.push_back(sorted_polygon_points[ridx]);
}
return smallPlateCorners;
}
bool EdgeFinder::is_high_contrast(const cv::Mat crop) {
int stride = 2;
int rows = crop.rows;
int cols = crop.cols / stride;
timespec startTime;
getTimeMonotonic(&startTime);
// Calculate pixel intensity
float avg_intensity = 0;
for (unsigned int y = 0; y < rows; y++)
{
for (unsigned int x = 0; x < crop.cols; x += stride)
{
avg_intensity = avg_intensity + crop.at<uchar>(y,x);
}
}
avg_intensity = avg_intensity / (float) (rows * cols * 255);
// Calculate RMS contrast
float contrast = 0;
for (unsigned int y = 0; y < rows; y++)
{
for (unsigned int x = 0; x < crop.cols; x += stride)
{
contrast += pow( ((crop.at<unsigned char>(y,x) / 255.0) - avg_intensity), 2.0f);
}
}
contrast /= ((float) rows) * ((float)cols);
contrast = pow(contrast, 0.5f);
if (pipeline_data->config->debugTiming)
{
timespec endTime;
getTimeMonotonic(&endTime);
cout << "High Contrast Detection Time: " << diffclock(startTime, endTime) << "ms." << endl;
}
return contrast > 0.3;
}
}

View File

@@ -40,9 +40,13 @@ namespace alpr
private:
PipelineData* pipeline_data;
std::vector<cv::Point2f> highContrastDetection();
std::vector<cv::Point2f> normalDetection();
std::vector<cv::Point2f> detection(bool high_contrast);
std::vector<cv::Point> highContrastDetection(cv::Mat newCrop, std::vector<TextLine> newLines);
std::vector<cv::Point> normalDetection(cv::Mat newCrop, std::vector<TextLine> newLines);
bool is_high_contrast(const cv::Mat crop);
};
}