//javadoc: detectRegions(image, er_filter1, er_filter2, groups_rects)
public static void detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, MatOfRect groups_rects)
{
if (image != null)
{
image.ThrowIfDisposed();
}
if (er_filter1 != null)
{
er_filter1.ThrowIfDisposed();
}
if (er_filter2 != null)
{
er_filter2.ThrowIfDisposed();
}
if (groups_rects != null)
{
groups_rects.ThrowIfDisposed();
}
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat groups_rects_mat = groups_rects;
text_Text_detectRegions_13(image.nativeObj, er_filter1.getNativeObjAddr(), er_filter2.getNativeObjAddr(), groups_rects_mat.nativeObj);
return;
#else
return;
#endif
}
//
// C++: void cv::text::detectRegions(Mat image, Ptr_ERFilter er_filter1, Ptr_ERFilter er_filter2, vector_vector_Point& regions)
//
/**
* Converts MSER contours (vector<Point>) to ERStat regions.
*
* param image Source image CV_8UC1 from which the MSERs where extracted.
*
*
* param regions Output where the ERStat regions are stored.
*
* It takes as input the contours provided by the OpenCV MSER feature detector and returns as output
* two vectors of ERStats. This is because MSER() output contains both MSER+ and MSER- regions in a
* single vector<Point>, the function separates them in two different vectors (this is as if the
* ERStats where extracted from two different channels).
*
* An example of MSERsToERStats in use can be found in the text detection webcam_demo:
* <https://github.com/opencv/opencv_contrib/blob/master/modules/text/samples/webcam_demo.cpp>
* param er_filter1 automatically generated
* param er_filter2 automatically generated
*/
public static void detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, List <MatOfPoint> regions)
{
if (image != null)
{
image.ThrowIfDisposed();
}
if (er_filter1 != null)
{
er_filter1.ThrowIfDisposed();
}
if (er_filter2 != null)
{
er_filter2.ThrowIfDisposed();
}
Mat regions_mat = new Mat();
text_Text_detectRegions_14(image.nativeObj, er_filter1.getNativeObjAddr(), er_filter2.getNativeObjAddr(), regions_mat.nativeObj);
Converters.Mat_to_vector_vector_Point(regions_mat, regions);
regions_mat.release();
}
/**
* Extracts text regions from image.
*
* param image Source image where text blocks needs to be extracted from. Should be CV_8UC3 (color).
* param er_filter1 Extremal Region Filter for the 1st stage classifier of N&M algorithm CITE: Neumann12
* param er_filter2 Extremal Region Filter for the 2nd stage classifier of N&M algorithm CITE: Neumann12
* param groups_rects Output list of rectangle blocks with text
*/
public static void detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, MatOfRect groups_rects)
{
if (image != null)
{
image.ThrowIfDisposed();
}
if (er_filter1 != null)
{
er_filter1.ThrowIfDisposed();
}
if (er_filter2 != null)
{
er_filter2.ThrowIfDisposed();
}
if (groups_rects != null)
{
groups_rects.ThrowIfDisposed();
}
Mat groups_rects_mat = groups_rects;
text_Text_detectRegions_13(image.nativeObj, er_filter1.getNativeObjAddr(), er_filter2.getNativeObjAddr(), groups_rects_mat.nativeObj);
}
//
// C++: void cv::text::detectRegions(Mat image, Ptr_ERFilter er_filter1, Ptr_ERFilter er_filter2, vector_Rect& groups_rects, int method = ERGROUPING_ORIENTATION_HORIZ, String filename = String(), float minProbability = (float)0.5)
//
/**
* Extracts text regions from image.
*
* param image Source image where text blocks needs to be extracted from. Should be CV_8UC3 (color).
* param er_filter1 Extremal Region Filter for the 1st stage classifier of N&M algorithm CITE: Neumann12
* param er_filter2 Extremal Region Filter for the 2nd stage classifier of N&M algorithm CITE: Neumann12
* param groups_rects Output list of rectangle blocks with text
* param method Grouping method (see text::erGrouping_Modes). Can be one of ERGROUPING_ORIENTATION_HORIZ, ERGROUPING_ORIENTATION_ANY.
* param filename The XML or YAML file with the classifier model (e.g. samples/trained_classifier_erGrouping.xml). Only to use when grouping method is ERGROUPING_ORIENTATION_ANY.
* param minProbability The minimum probability for accepting a group. Only to use when grouping method is ERGROUPING_ORIENTATION_ANY.
*/
public static void detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, MatOfRect groups_rects, int method, string filename, float minProbability)
{
if (image != null)
{
image.ThrowIfDisposed();
}
if (er_filter1 != null)
{
er_filter1.ThrowIfDisposed();
}
if (er_filter2 != null)
{
er_filter2.ThrowIfDisposed();
}
if (groups_rects != null)
{
groups_rects.ThrowIfDisposed();
}
Mat groups_rects_mat = groups_rects;
text_Text_detectRegions_10(image.nativeObj, er_filter1.getNativeObjAddr(), er_filter2.getNativeObjAddr(), groups_rects_mat.nativeObj, method, filename, minProbability);
}
//
// C++: void cv::text::detectRegions(Mat image, Ptr_ERFilter er_filter1, Ptr_ERFilter er_filter2, vector_vector_Point& regions)
//
//javadoc: detectRegions(image, er_filter1, er_filter2, regions)
public static void detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, List <MatOfPoint> regions)
{
if (image != null)
{
image.ThrowIfDisposed();
}
if (er_filter1 != null)
{
er_filter1.ThrowIfDisposed();
}
if (er_filter2 != null)
{
er_filter2.ThrowIfDisposed();
}
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat regions_mat = new Mat();
text_Text_detectRegions_14(image.nativeObj, er_filter1.getNativeObjAddr(), er_filter2.getNativeObjAddr(), regions_mat.nativeObj);
Converters.Mat_to_vector_vector_Point(regions_mat, regions);
regions_mat.release();
return;
#else
return;
#endif
}
