#include "StdAfx.h"
#include "PageMatcher.h"
#include "Affine2DEstimator0.h"
#include "Affine2DEstimator.h"
#include "CrossDetector.h"
namespace identify{
	CPageMatcher::CPageMatcher(void)
	{

	}


	CPageMatcher::~CPageMatcher(void)
	{

	}

	int CPageMatcher::Identifi(const IplImage * src, int shemaIndex, MATCH_REUSLT& match_result)
	{
		//旋转4个角度查找定位点(逆时针旋转 0度,90度，180度，270度) 并矫正
		const int rotation[4] = { ROTATION_0, ROTATION_90, ROTATION_180, ROTATION_270 };
		std::vector<MATCH_REUSLT> match_reuslts;
		int ret;
		for(std::size_t dir = 0; dir < 4; dir++)
		{
			MATCH_REUSLT result;
			ret = Identifi(src, shemaIndex, rotation[dir], result);
			if (ret == IDF_SUCCESS)match_reuslts.push_back(result);
		}
		match_result.matched_count = 0;
		int max_matched_count = 0;
		int max_matched_index = -1;

		for (std::size_t i = 0; i < match_reuslts.size(); i++)
		{
			if (max_matched_count < match_reuslts[i].matched_count){
				max_matched_index = i;
				max_matched_count = match_reuslts[i].matched_count;
			}
		}
		if (max_matched_index<0){
			return IDF_FAILURE;
		}
		match_result = match_reuslts[max_matched_index];
		return IDF_SUCCESS;
	}

	int CPageMatcher::Identifi(const IplImage * src, int shemaIndex, const int rotation, MATCH_REUSLT& result)
	{
		const ISCH_SCHEMA_PAGE& schemaPage = (*schemaPages)[shemaIndex];
		result.matched = false;
		int ret = BaseCheck(src, schemaPage);
		if (ret != IDF_SUCCESS)return ret;
		//估计比例
		double estimate_scale = sqrt((double)(src->width*src->width + src->height*src->height)) / sqrt((double)(schemaPage.width*schemaPage.width + schemaPage.height*schemaPage.height));

		//长宽不相等，进行长宽校验
		if (abs(1 - max(schemaPage.width, schemaPage.height) / (double)min(schemaPage.width, schemaPage.height))>0.15){
			if (rotation&(ROTATION_0 | ROTATION_180))//旋转0度或者180度
			{
				if ((schemaPage.width > schemaPage.height) != (src->width > src->height))return IDF_FAILURE;
			}
			if (rotation&(ROTATION_90 | ROTATION_270)){
				if ((schemaPage.width > schemaPage.height) != (src->width < src->height))return IDF_FAILURE;
			}
		}
		//记录对应关系属于哪个定位点、定位区、或交叉点
		int first_index = 0;
		vector<int> relationIndex;
		vector<CvPoint2D32f> relationKey;
		vector<CvPoint2D32f> relationValue;
		/********************************查找定位点*********************************************/
		ret = FindLoacteByLocatePoint(src, schemaPage, estimate_scale, rotation, relationKey, relationValue, relationIndex, first_index);
		first_index += schemaPage.locatePoints.size();
		if (ret != IDF_SUCCESS) return ret;
		/********************************查找模糊定位区*****************************************/
		ret = FindLoacteByLocateArea(src, schemaPage, estimate_scale, rotation, relationKey, relationValue, relationIndex, first_index);
		first_index += schemaPage.locateAreas.size();
		if (ret != IDF_SUCCESS) return ret;
		/********************************查找交叉点定位点***************************************/
		ret = FindLoacteByLocateCross(src, schemaPage, estimate_scale, rotation, relationKey, relationValue, relationIndex, first_index);
		first_index += schemaPage.locateCrosses.size();
		if (ret != IDF_SUCCESS) return ret;
		/********************************确认定位信息*********************************************/
		int inliner_count; cv::Mat _inliner;
		ret = ConfirmLocateInfo(relationKey, relationValue, inliner_count, _inliner);
		if (ret != IDF_SUCCESS) return ret;
		std::map<int, int> m;
		for(std::size_t kk = 0; kk < relationIndex.size(); kk++)
		{
			if (_inliner.at<unsigned char>(0, kk))m[relationIndex[kk]]++;
		}
		int matched_count = m.size();
		m_pageDirection = rotation;

		result.matched = true;
		result.schema_index = shemaIndex;
		result.dir = rotation;
		result.matched_count = matched_count;
		result.scale = m_Scaler0;
		result.total_count = schemaPage.locatePoints.size() + schemaPage.locateAreas.size() +schemaPage.locateCrosses.size();;
		memcpy(result.transfrom, m_AffineTransform.data, sizeof(result.transfrom));
		return IDF_SUCCESS;
	}

	int CPageMatcher::FindLoacteByLocateArea(const IplImage * src, const ISCH_SCHEMA_PAGE& schemaPage, const double estimate_scale, const int rotation, vector<CvPoint2D32f>& relationKey, vector<CvPoint2D32f>& relationValue, vector<int> &relationIndex, int first_index)
	{
		IplImage t;
		cvInitImageHeader(&t, cvSize(src->width, src->height), src->depth, src->nChannels, src->origin, src->align);
		cvSetData(&t, src->imageData, src->widthStep);
		IplImage * img = &t;
		for(std::size_t i = 0; i < schemaPage.locateAreas.size(); i++)
		{
			cvResetImageROI(img);
			int left, top, right, bottom;
			const ISCH_SCHEMA_LOCATE_AREA& locateArea = schemaPage.locateAreas[i].locate_area;
			const vector<KeyPoint>& locateAreaKeys = schemaPage.locateAreas[i].locateAreasKeyPoints;
			const CvPoint locateAreaOffset = schemaPage.locateAreas[i].locateAreasOffset;
			const Mat& locateAreaDescriptor = schemaPage.locateAreas[i].locateAreasDescriptor;
			double tw = locateArea.width + 100, th = locateArea.height + 100;
			switch (rotation){
			case  ROTATION_0:
				left = cv::max(0, (int)(locateArea.centerx*estimate_scale - tw / 2.0 + 0.5));
				top = cv::max(0, (int)(locateArea.centery*estimate_scale - tw / 2.0 + 0.5));
				right = min(img->width, (int)(locateArea.centerx*estimate_scale + tw / 2.0 + 0.5));
				bottom = min(img->height, (int)(locateArea.centery*estimate_scale + th / 2.0 + 0.5));
				break;
			case  ROTATION_90:
				left = max(0, (int)(locateArea.centery*estimate_scale - th / 2.0 + 0.5));
				top = max(0, (int)((schemaPage.width - locateArea.centerx)*estimate_scale - tw / 2.0 + 0.5));
				right = min(img->width, (int)(locateArea.centery*estimate_scale + th / 2.0 + 0.5));
				bottom = min(img->height, (int)((schemaPage.width - locateArea.centerx)*estimate_scale + tw / 2.0 + 0.5));
				break;
			case  ROTATION_180:
				left = max(0, (int)((schemaPage.width - locateArea.centerx)*estimate_scale - tw / 2.0 + 0.5));
				top = max(0, (int)((schemaPage.height - locateArea.centery)*estimate_scale - th / 2.0 + 0.5));
				right = min(img->width, (int)((schemaPage.width - locateArea.centerx)*estimate_scale + tw / 2.0 + 0.5));
				bottom = min(img->height, (int)((schemaPage.height - locateArea.centery)*estimate_scale + th / 2.0 + 0.5));
				break;
			case  ROTATION_270:
				left = max(0, (int)((schemaPage.height - locateArea.centery)*estimate_scale - th / 2.0 + 0.5));
				top = max(0, (int)(locateArea.centerx*estimate_scale - tw / 2.0 + 0.5));
				right = min(img->width, (int)((schemaPage.height - locateArea.centery)*estimate_scale + th / 2.0 + 0.5));
				bottom = min(img->height, (int)(locateArea.centerx*estimate_scale + tw / 2.0 + 0.5));
				break;
			}
			cvSetImageROI(img, cvRect(left, top, right - left + 1, bottom - top + 1));
			IplImage * grayImg = cvCreateImage(cvGetSize(img), IPL_DEPTH_8U, 1);
			if (img->nChannels == 3)cvCvtColor(img, grayImg, CV_BGR2GRAY);
			else cvCopy(img, grayImg);

			cvSmooth(grayImg, grayImg, CV_GAUSSIAN, 5);

			Mat m_m = cv::cvarrToMat(grayImg, false);
			std::vector<KeyPoint> keyPoints;
			Mat descriptor;
			Ptr<FeatureDetector> pDetector = SurfFeatureDetector::create();// 这里我们用了SURF特征点
			pDetector->detect(m_m, keyPoints);
			Ptr<DescriptorExtractor> pExtractor = SurfDescriptorExtractor::create(); // 提取SURF描述向量
			pExtractor->compute(m_m, keyPoints, descriptor);

			vector<DMatch> Matches;
			Ptr<DescriptorMatcher>pMatcher = new FlannBasedMatcher; // 使用Flann匹配算法
			if (descriptor.rows > 0 && locateAreaDescriptor.rows > 0)pMatcher->match(descriptor, locateAreaDescriptor, Matches);

			if (Matches.size() >= 3){
				vector<Point2f> _from;
				vector<Point2f> _to;
				for(std::size_t n = 0; n < Matches.size(); n++)
				{
					_to.push_back(keyPoints[Matches[n].queryIdx].pt);
					_from.push_back(locateAreaKeys[Matches[n].trainIdx].pt);
				}
				// Show result
				Mat _out; Mat _inliers;
				int su = estimateAffine2D0(_from, _to, _out, _inliers, 2);
				if (su > cv::max(5.0, locateAreaKeys.size()*0.1)){
					double centerx = locateArea.centerx - locateAreaOffset.x;//locateArea.width/2.0;
					double centery = locateArea.centery - locateAreaOffset.y;//locateArea.height/2.0;
					double x = _out.at<double>(0, 0)*centerx + _out.at<double>(0, 1)*centery + _out.at<double>(0, 2);
					double y = _out.at<double>(1, 0)*centerx + _out.at<double>(1, 1)*centery + _out.at<double>(1, 2);
					if (0 <= x&&x < grayImg->width && 0 <= y&&y < grayImg->height){
						relationKey.push_back(cvPoint2D32f(centerx + locateAreaOffset.x, centery + locateAreaOffset.y));
						relationValue.push_back(cvPoint2D32f(x + left, y + top));
						relationIndex.push_back(first_index + i);
					}
				}
			}
			cvReleaseImage(&grayImg);
		}
		return IDF_SUCCESS;
	}

	int CPageMatcher::ConfirmLocateInfo(vector<CvPoint2D32f>& relationKey, vector<CvPoint2D32f>& relationValue, int& inliner_count, cv::Mat& _inliner)
	{
		if (relationKey.size() < 3) return IDF_NOTFOUND_ENOUGH_LOCATEPOINT;
		Mat _out; Mat _inliers;
		vector<Point2f> _from;
		vector<Point2f> _to;
		for(std::size_t i = 0; i < relationKey.size(); i++)
		{
			_from.push_back(relationKey[i]);
			_to.push_back(relationValue[i]);
		}
		/*模型估计*/
		int su = estimateAffine2D(_from, _to, _out, _inliers, 4);
		if (su < 3) return IDF_FAILURE;
		if (su >= 3){
			m_AffineTransform = _out;
			Point2f src[3] = { Point2f(0, 0), Point2f(1000, 0), Point2f(0, 1000) };
			Point2f dst[3] = { warpAffinePoint<Point2f, Point2f>(src[0], &m_AffineTransform), warpAffinePoint<Point2f, Point2f>(src[1], &m_AffineTransform), warpAffinePoint<Point2f, Point2f>(src[2], &m_AffineTransform) };
			double d_src[3] = { GetDistance(src[0], src[1]), GetDistance(src[0], src[2]), GetDistance(src[1], src[2]) };
			double d_dst[3] = { GetDistance(dst[0], dst[1]), GetDistance(dst[0], dst[2]), GetDistance(dst[1], dst[2]) };
			double scales[3] = { d_dst[0] / d_src[0], d_dst[1] / d_src[1], d_dst[2] / d_src[2] };
			double dscale[3] = { abs(scales[0] - scales[1]), abs(scales[0] - scales[2]), abs(scales[1] - scales[2]) };
			double scale = max(max(dscale[0], dscale[1]), dscale[2]);
			if (scale > 0.15)return IDF_FAILURE;
			m_AffineTransformInverseMatrix = getAffineTransform(dst, src);
			m_Scaler0 = d_dst[0] / d_src[0];
			inliner_count = su;
			_inliner = _inliers;
		}
		return IDF_SUCCESS;
	}

	int CPageMatcher::FindLoacteByLocatePoint(const IplImage * src, const ISCH_SCHEMA_PAGE& schemaPage, const double estimate_scale, const int rotation, vector<CvPoint2D32f> &relationKey, vector<CvPoint2D32f>& relationValue, vector<int> &relationIndex, int first_index)
	{
#if _DEBUG
		cvSaveImage("D:\\binary_cvDilate.png", src);
#endif
		IplImage t;
		cvInitImageHeader(&t, cvSize(src->width, src->height), src->depth, src->nChannels, src->origin, src->align);
		cvSetData(&t, src->imageData, src->widthStep);
		IplImage * img = &t;
		int tw = (int)(400 * estimate_scale);
		int th = (int)(400 * estimate_scale);
		int left, top, right, bottom;
		CvRect rect;
		IplImage* dst = cvCreateImage(cvSize(tw + 10, th + 10), IPL_DEPTH_8U, 1);
		CvSeq* contour = NULL;
		CvMemStorage * storage = cvCreateMemStorage();
		vector<vector<CvContour*>>  locatePointContour(schemaPage.locatePoints.size());
		for(std::size_t i = 0; i < schemaPage.locatePoints.size(); i++)
		{
			const identify::schema::ISCH_SCHEMA_LOCATE_POINT& locatePoint = schemaPage.locatePoints[i];
			switch (rotation){
			case  ROTATION_0:
				left = max(0, (int)(locatePoint.centerx*estimate_scale - tw / 2.0 + 0.5));
				top = max(0, (int)(locatePoint.centery*estimate_scale - tw / 2.0 + 0.5));
				right = min(img->width, (int)(locatePoint.centerx*estimate_scale + tw / 2.0 + 0.5));
				bottom = min(img->height, (int)(locatePoint.centery*estimate_scale + th / 2.0 + 0.5));
				rect = cvRect(left, top, right - left, bottom - top);
				break;
			case  ROTATION_90:
				left = max(0, (int)(locatePoint.centery*estimate_scale - tw / 2.0 + 0.5));
				top = max(0, (int)((schemaPage.width - locatePoint.centerx)*estimate_scale - tw / 2.0 + 0.5));
				right = min(img->width, (int)(locatePoint.centery*estimate_scale + tw / 2.0 + 0.5));
				bottom = min(img->height, (int)((schemaPage.width - locatePoint.centerx)*estimate_scale + th / 2.0 + 0.5));
				rect = cvRect(left, top, right - left, bottom - top);
				break;
			case  ROTATION_180:
				left = max(0, (int)((schemaPage.width - locatePoint.centerx)*estimate_scale - tw / 2.0 + 0.5));
				top = max(0, (int)((schemaPage.height - locatePoint.centery)*estimate_scale - tw / 2.0 + 0.5));
				right = min(img->width, (int)((schemaPage.width - locatePoint.centerx)*estimate_scale + tw / 2.0 + 0.5));
				bottom = min(img->height, (int)((schemaPage.height - locatePoint.centery)*estimate_scale + th / 2.0 + 0.5));
				rect = cvRect(left, top, right - left, bottom - top);
				break;
			case  ROTATION_270:
				left = max(0, (int)((schemaPage.height - locatePoint.centery)*estimate_scale - tw / 2.0 + 0.5));
				top = max(0, (int)(locatePoint.centerx*estimate_scale - tw / 2.0 + 0.5));
				right = min(img->width, (int)((schemaPage.height - locatePoint.centery)*estimate_scale + tw / 2.0 + 0.5));
				bottom = min(img->height, (int)(locatePoint.centerx*estimate_scale + th / 2.0 + 0.5));
				rect = cvRect(left, top, right - left, bottom - top);
				break;
			}
			cvSetImageROI(img, rect);
			cvSet(dst, cvScalarAll(255));
			cvSetImageROI(dst, cvRect(5, 5, rect.width, rect.height));
			if (img->nChannels == 3)cvCvtColor(img, dst, CV_BGR2GRAY);
			else cvCopy(img, dst);
			cvResetImageROI(dst);
			cvThreshold(dst, dst, 160, 255, CV_THRESH_BINARY_INV);
			//cvAdaptiveThreshold(dst,dst,255,CV_ADAPTIVE_THRESH_MEAN_C,CV_THRESH_BINARY,5,-40);
			int an = 2;
			IplConvKernel * element = cvCreateStructuringElementEx(an * 2 + 1, an * 2 + 1, an, an, CV_SHAPE_RECT, 0);//创建结构元素   

			cvDilate(dst, dst, element, 1);//膨胀图像   
			cvErode(dst, dst, element, 1);//腐蚀图像  
			cvErode(dst, dst, element, 1);//腐蚀图像  
			/*cvSaveImage("D:\\binary_cvErode.png",dst);*/
			cvDilate(dst, dst, element, 1);//膨胀图像   
			/*cvSaveImage("D:\\binary_cvDilate.png",dst);*/
			cvReleaseStructuringElement(&element);
			int contours = cvFindContours(dst, storage, &contour, sizeof(CvContour), CV_RETR_LIST, CV_CHAIN_APPROX_NONE, cvPoint(rect.x - 5, rect.y - 5));
			/*cvDrawContours(dst,contour,cvScalarAll(128),cvScalarAll(128),2,1,8,cvPoint(-(rect.x-5),-(rect.y-5)));
			cvSaveImage("D:\\binary_Contours.png",dst);*/
			vector<CvContour*>& contourList = locatePointContour[i];
			if (rotation&(ROTATION_0 | ROTATION_180)){
				for (CvContour * c = (CvContour *)contour; c != 0; c = (CvContour *)c->h_next)
				{
					if (c->rect.width < min(locatePoint.width*0.8, (double)locatePoint.width - 2)*estimate_scale)continue;
					if (c->rect.height < min(locatePoint.height*0.8, (double)locatePoint.height - 2)*estimate_scale)continue;
					if (c->rect.width > max(locatePoint.width*1.2, (double)locatePoint.width + 2)*estimate_scale)continue;
					if (c->rect.height > max(locatePoint.height*1.2, (double)locatePoint.height + 2)*estimate_scale)continue;
					cvSetImageROI(img, c->rect);
					int area = GetBlackArea(img);
					if (area < c->rect.width*c->rect.height*0.75)continue;
					double area2 = cvContourArea(c);
					if (area2 < c->rect.width*c->rect.height - (c->rect.width + c->rect.height)*3.5)continue;
					contourList.push_back(c);
				}
			}
			if (rotation&(ROTATION_90 | ROTATION_270)){
				for (CvContour * c = (CvContour *)contour; c != 0; c = (CvContour *)c->h_next)
				{
					if (c->rect.height < min(locatePoint.width*0.8, (double)locatePoint.width - 2)*estimate_scale)continue;
					if (c->rect.width < min(locatePoint.height*0.8, (double)locatePoint.height - 2)*estimate_scale)continue;
					if (c->rect.height > max(locatePoint.width*1.2, (double)locatePoint.width + 2)*estimate_scale)continue;
					if (c->rect.width > max(locatePoint.height*1.2, (double)locatePoint.height + 2)*estimate_scale)continue;
					cvSetImageROI(img, c->rect);
					int area = GetBlackArea(img);
					if (area < c->rect.width*c->rect.height*0.75)continue;
					double area2 = cvContourArea(c);
					if (area2 < c->rect.width*c->rect.height - (c->rect.width + c->rect.height) * 3.5)continue;
					contourList.push_back(c);
				}
			}
		}
		for(std::size_t i = 0; i < schemaPage.locatePoints.size(); i++)
		{
			for(std::size_t j = 0; j < locatePointContour[i].size(); j++)
			{
				CvPoint2D32f* point1 = (CvPoint2D32f*)cvMemStorageAlloc(storage, sizeof(CvPoint2D32f));
				CvPoint2D32f* point2 = (CvPoint2D32f*)cvMemStorageAlloc(storage, sizeof(CvPoint2D32f));
				point1->x = schemaPage.locatePoints[i].centerx;
				point1->y = schemaPage.locatePoints[i].centery;
				CvContour& ff = *locatePointContour[i][j];
				point2->x = ff.rect.x + ff.rect.width / 2.;
				point2->y = ff.rect.y + ff.rect.height / 2.;
				relationKey.push_back(*point1);
				relationValue.push_back(*point2);
				relationIndex.push_back(first_index + i);
			}
		}
		cvReleaseMemStorage(&storage);
		cvReleaseImage(&dst);
		return IDF_SUCCESS;
	}


	inline int CPageMatcher::BaseCheck(const IplImage * src, const ISCH_SCHEMA_PAGE& schemaPage)
	{
	//	cvSaveImage("d:\\d1.jpg",src);
		if (src->width < 200 || src->height<200){
			return IDF_SIZE2SMALL;
		}
		if (abs(max(src->width, src->height) / (double)min(src->width, src->height) - max(schemaPage.width, schemaPage.height) / (double)min(schemaPage.width, schemaPage.height))>0.2){
			//图像长宽比不符
			return IDF_SIDERATIO;
		}
		return IDF_SUCCESS;
	}

	int CPageMatcher::Identify(const IplImage* img, MATCH_REUSLT & match_result)
	{
		if (img == NULL) return IDF_FAILURE;
		if (schemaPages == NULL || schemaPages->size() < 1)return IDF_MISSING_TEMPLATES;
		std::vector<MATCH_REUSLT> match_results;
		for(std::size_t schemaIndex = 0; schemaIndex < schemaPages->size(); schemaIndex++){
			MATCH_REUSLT result;
			int r = Identifi(img, schemaIndex, result);
			if (r == IDF_SUCCESS){
				match_results.push_back(result);
			}
		}
		int max_gailv = 0;
		int matched_index = -1;

		for(std::size_t i = 0; i < match_results.size(); i++)
		{
			int gailv = match_results[i].matched_count - (match_results[i].total_count - match_results[i].matched_count);
			if (max_gailv < gailv){
				matched_index = i;
				max_gailv = gailv;
			}
		}

		if (matched_index < 0){ return IDF_CANNOT_MATCH_TEMPLATE; }
		match_result = match_results[matched_index];
		/*int min_unmatched_count =9999999;
		int min_unmatched_index =-1;
		for(std::size_t i=0;i<match_results.size();i++)
		{
		int unmatched_count=match_results[i].total_count-match_results[i].matched_count;
		if(min_unmatched_count>unmatched_count){
		min_unmatched_index =i;
		min_unmatched_count = unmatched_count;
		}
		}
		if(min_unmatched_index<0){return IDF_CANNOT_MATCH_TEMPLATE;}
		match_result = match_results[min_unmatched_index];*/
		return IDF_SUCCESS;
	}

	void CPageMatcher::SetSchemaPages(boost::shared_ptr<const ISCH_Schema> schema)
	{
		this->schemaPages = schema;
	}

	template<typename T1, typename T2>
	T2 CPageMatcher::warpAffinePoint(T1& src, Mat * map_matrix)
	{
		T2 r;
		r.x = map_matrix->at<double>(0, 0)*src.x + map_matrix->at<double>(0, 1)*src.y + map_matrix->at<double>(0, 2);
		r.y = map_matrix->at<double>(1, 0)*src.x + map_matrix->at<double>(1, 1)*src.y + map_matrix->at<double>(1, 2);
		return r;
	}

	template<typename T1, typename T2 >
	double CPageMatcher::GetDistance(T1 point1, T2 point2)
	{
		double dx = point1.x - point2.x;
		double dy = point1.y - point2.y;
		return sqrt(dx*dx + dy*dy);
	}

	int CPageMatcher::FindLoacteByLocateCross(const IplImage * src, const ISCH_SCHEMA_PAGE& schemaPage, const double estimate_scale, const int rotation, vector<CvPoint2D32f>& relationKey, vector<CvPoint2D32f>& relationValue, vector<int> &relationIndex, int first_index)
	{

		IplImage t;
		cvInitImageHeader(&t, cvSize(src->width, src->height), src->depth, src->nChannels, src->origin, src->align);
		cvSetData(&t, src->imageData, src->widthStep);
		IplImage * img = &t;
		int tw = (int)(200 * estimate_scale);
		int th = (int)(200 * estimate_scale);
		int left, top, right, bottom;
		CvRect rect;
		for(std::size_t i = 0; i < schemaPage.locateCrosses.size(); i++)
		{
			const identify::schema::ISCH_SCHEMA_LOACTE_CROSS& locateCross = schemaPage.locateCrosses[i];
			switch (rotation){
			case  ROTATION_0:
				left = max(0, (int)(locateCross.centerx*estimate_scale - tw / 2.0 + 0.5));
				top = max(0, (int)(locateCross.centery*estimate_scale - tw / 2.0 + 0.5));
				right = min(img->width, (int)(locateCross.centerx*estimate_scale + tw / 2.0 + 0.5));
				bottom = min(img->height, (int)(locateCross.centery*estimate_scale + th / 2.0 + 0.5));
				rect = cvRect(left, top, right - left, bottom - top);
				break;
			case  ROTATION_90:
				left = max(0, (int)(locateCross.centery*estimate_scale - tw / 2.0 + 0.5));
				top = max(0, (int)((schemaPage.width - locateCross.centerx)*estimate_scale - tw / 2.0 + 0.5));
				right = min(img->width, (int)(locateCross.centery*estimate_scale + tw / 2.0 + 0.5));
				bottom = min(img->height, (int)((schemaPage.width - locateCross.centerx)*estimate_scale + th / 2.0 + 0.5));
				rect = cvRect(left, top, right - left, bottom - top);
				break;
			case  ROTATION_180:
				left = max(0, (int)((schemaPage.width - locateCross.centerx)*estimate_scale - tw / 2.0 + 0.5));
				top = max(0, (int)((schemaPage.height - locateCross.centery)*estimate_scale - tw / 2.0 + 0.5));
				right = min(img->width, (int)((schemaPage.width - locateCross.centerx)*estimate_scale + tw / 2.0 + 0.5));
				bottom = min(img->height, (int)((schemaPage.height - locateCross.centery)*estimate_scale + th / 2.0 + 0.5));
				rect = cvRect(left, top, right - left, bottom - top);
				break;
			case  ROTATION_270:
				left = max(0, (int)((schemaPage.height - locateCross.centery)*estimate_scale - tw / 2.0 + 0.5));
				top = max(0, (int)(locateCross.centerx*estimate_scale - tw / 2.0 + 0.5));
				right = min(img->width, (int)((schemaPage.height - locateCross.centery)*estimate_scale + tw / 2.0 + 0.5));
				bottom = min(img->height, (int)(locateCross.centerx*estimate_scale + th / 2.0 + 0.5));
				rect = cvRect(left, top, right - left, bottom - top);
				break;
			}
			cvSetImageROI(img, rect);
			CCrossDetector crossDetector;
			std::vector<CvCross> crosss;
			crossDetector.Detect(img, crosss);
			int sign_=0;
			switch (rotation)
			{
			case  ROTATION_0:
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_UP)sign_ |= ISCH_SCHEMA_CROSS_SIGN_UP;
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_DOWN)sign_ |= ISCH_SCHEMA_CROSS_SIGN_DOWN;
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_LEFT)sign_ |= ISCH_SCHEMA_CROSS_SIGN_LEFT;
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_RIGHT)sign_ |= ISCH_SCHEMA_CROSS_SIGN_RIGHT;
				break;
			case  ROTATION_90:
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_UP)sign_ |= ISCH_SCHEMA_CROSS_SIGN_LEFT;
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_DOWN)sign_ |= ISCH_SCHEMA_CROSS_SIGN_RIGHT;
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_LEFT)sign_ |= ISCH_SCHEMA_CROSS_SIGN_DOWN;
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_RIGHT)sign_ |= ISCH_SCHEMA_CROSS_SIGN_UP;
				break;
			case  ROTATION_180:
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_UP)sign_ |= ISCH_SCHEMA_CROSS_SIGN_DOWN;
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_DOWN)sign_ |= ISCH_SCHEMA_CROSS_SIGN_UP;
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_LEFT)sign_ |= ISCH_SCHEMA_CROSS_SIGN_RIGHT;
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_RIGHT)sign_ |= ISCH_SCHEMA_CROSS_SIGN_LEFT;
				break;
			case  ROTATION_270:
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_UP)sign_ |= ISCH_SCHEMA_CROSS_SIGN_RIGHT;
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_DOWN)sign_ |= ISCH_SCHEMA_CROSS_SIGN_LEFT;
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_LEFT)sign_ |= ISCH_SCHEMA_CROSS_SIGN_UP;
				if (locateCross.sign&ISCH_SCHEMA_CROSS_SIGN_RIGHT)sign_ |= ISCH_SCHEMA_CROSS_SIGN_DOWN;
				break;
			}
			for(std::size_t j = 0; j < crosss.size(); j++)
			{
				if (crosss[j].sign != sign_)continue;
				CvPoint2D32f point1;
				CvPoint2D32f point2;
				point1.x = locateCross.centerx;
				point1.y = locateCross.centery;
				const CvCross& ff = crosss[j];
				point2.x = ff.x;
				point2.y = ff.y;
				relationKey.push_back(point1);
				relationValue.push_back(point2);
				relationIndex.push_back(first_index + i);
			}
		}
		return IDF_SUCCESS;
	}
}