#include?“carID_Detection.h“

void?RgbConvToGray（const?Mat&?inputImageMat?&?outpuImage）??//g?=?0.3R+0.59G+0.11B
{
	outpuImage?=?Mat（inputImage.rows?inputImage.cols?CV_8UC1）;??

	for?（int?i?=?0?;i	{
		uchar?*ptrGray?=?outpuImage.ptr（i）;?
		const?Vec3b?*?ptrRgb?=?inputImage.ptr（i）;
		for?（int?j?=?0?;j		{
			ptrGray[j]?=?0.3*ptrRgb[j][2]+0.59*ptrRgb[j][1]+0.11*ptrRgb[j][0];	
		}
	}
}

bool?verifySizes_closeImg（const?RotatedRect?&?candidate）
{
	float?error?=?0.4;
	const?float?aspect?=?44/14;?//長(zhǎng)寬比
	int?min?=?20*aspect*20;?//最小區(qū)域
	int?max?=?180*aspect*180;??//最大區(qū)域
	float?rmin?=?aspect?-?aspect*error;?//考慮誤差后的最小長(zhǎng)寬比
	float?rmax?=?aspect?+?aspect*error;?//考慮誤差后的最大長(zhǎng)寬比

	int?area?=?candidate.size.height?*?candidate.size.width;
	float?r?=?（float）candidate.size.width/（float）candidate.size.height;
	if（r?<1）
		r?=?1/r;

	if（?（area??max）?||?（r?rmax）??）
		return?false;
	else
		return?true;
}

void?posDetect（Mat?&inputImage??vector??&?rects??）???//初步找到候選區(qū)域?rects
{
	Mat?img_sobel;
	Sobel（inputImage??img_sobel??CV_8U?10310）;
	Mat?img_threshold;
	threshold（img_sobel??img_threshold0255??CV_THRESH_OTSU+CV_THRESH_BINARY）;?//otsu算法自動(dòng)獲得閾值
	Mat?element?=?getStructuringElement（MORPH_RECT?Size（17?3））;??//閉形態(tài)學(xué)的結(jié)構(gòu)元素
	morphologyEx（img_threshold?img_thresholdCV_MOP_CLOSEelement）;?
	morphologyEx（img_threshold?img_thresholdMORPH_OPENelement）;
	//namedWindow（“img“CV_WINDOW_NORMAL）;
	//imshow（“img“img_threshold）;
	//waitKey（）;
	//尋找車牌區(qū)域的輪廓
	vector?>?contours;
	findContours（img_threshold?contoursCV_RETR_EXTERNAL?CV_CHAIN_APPROX_NONE）;//只檢測(cè)外輪廓
	//對(duì)候選的輪廓進(jìn)行進(jìn)一步篩選
	vector?>?::iterator?itc?=?contours.begin（）;

	while（?itc?!=?contours.end（））
	{
		RotatedRect?mr?=?minAreaRect（Mat（?*itc?））;?//返回每個(gè)輪廓的最小有界矩形區(qū)域
		if（!verifySizes（mr））??//判斷矩形輪廓是否符合要求
		{
			itc?=?contours.erase（itc）;
		}
		else?????
		{
			rects.push_back（mr）;
			++itc;
		}??????
	}
}


bool?verifySizes（const?RotatedRect?&?candidate）
{
	float?error?=?0.4;
	const?float?aspect?=?44/14;?//長(zhǎng)寬比
	int?min?=?20*aspect*20;?//最小區(qū)域
	int?max?=?180*aspect*180;??//最大區(qū)域
	float?rmin?=?aspect?-?2*aspect*error;?//考慮誤差后的最小長(zhǎng)寬比
	float?rmax?=?aspect?+?2*aspect*error;?//考慮誤差后的最大長(zhǎng)寬比

	int?area?=?candidate.size.height?*?candidate.size.width;
	float?r?=?（float）candidate.size.width/（float）candidate.size.height;
	if（r?<1）
		r?=?1/r;

	if（?（area??max）?||?（r?rmax）??）?//滿足該條件才認(rèn)為該candidate為車牌區(qū)域
		return?false;
	else
		return?true;
}


void?normalPosArea（Mat?&intputImg?vector?&rects_optimal?vector?&?output_area?）
{
	float?rangle;
	for?（int?i?=?0?;i	{
		//旋轉(zhuǎn)區(qū)域
		angle?=?rects_optimal[i].angle;
		r?=?（float）rects_optimal[i].size.width?/?（float）?（float）rects_optimal[i].size.height;
		if（r<1）
			angle?=?90?+?angle;//旋轉(zhuǎn)圖像使其得到長(zhǎng)大于高

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2017-03-17?21:15??CarNumber\
?????文件??????145637??2016-06-17?11:39??CarNumber\1.jpg
?????文件??????164788??2016-06-17?11:39??CarNumber\10.jpg
?????文件??????122761??2016-06-17?11:39??CarNumber\11.jpg
?????文件??????307370??2016-06-17?11:39??CarNumber\12.jpg
?????文件??????160888??2016-06-17?11:39??CarNumber\13.jpg
?????文件??????132182??2016-06-17?11:39??CarNumber\14.jpg
?????文件??????122507??2016-06-17?11:39??CarNumber\15.jpg
?????文件??????146481??2016-06-17?11:39??CarNumber\16.jpg
?????文件??????115442??2016-06-17?11:39??CarNumber\17.jpg
?????文件??????116986??2016-06-17?11:39??CarNumber\18.jpg
?????文件??????152912??2016-06-17?11:39??CarNumber\19.jpg
?????文件??????151518??2016-06-17?11:39??CarNumber\2.jpg
?????文件??????121903??2016-06-17?11:39??CarNumber\20.jpg
?????文件??????135255??2016-06-17?11:39??CarNumber\21.jpg
?????文件??????117527??2016-06-17?11:39??CarNumber\22.jpg
?????文件??????153424??2016-06-17?11:39??CarNumber\23.jpg
?????文件??????141034??2016-06-17?11:39??CarNumber\24.jpg
?????文件??????145079??2016-06-17?11:39??CarNumber\25.jpg
?????文件??????136953??2016-06-17?11:39??CarNumber\26.jpg
?????文件??????120412??2016-06-17?11:39??CarNumber\27.jpg
?????文件??????146480??2016-06-17?11:39??CarNumber\28.jpg
?????文件??????156454??2016-06-17?11:39??CarNumber\29.jpg
?????文件??????157747??2016-06-17?11:39??CarNumber\3.jpg
?????文件??????105273??2016-06-17?11:39??CarNumber\30.jpg
?????文件??????158448??2016-06-17?11:39??CarNumber\31.jpg
?????文件??????146374??2016-06-17?11:39??CarNumber\4.jpg
?????文件??????134187??2016-06-17?11:39??CarNumber\5.jpg
?????文件??????126343??2016-06-17?11:39??CarNumber\6.jpg
?????文件??????370419??2016-06-17?11:39??CarNumber\7.jpg
?????文件??????169780??2016-06-17?11:39??CarNumber\8.jpg
............此處省略11個(gè)文件信息