#include?
#include?
#include?
#include?
#include?
#include??
#include??
#include?
#include?

using?namespace?cv;?
using?namespace?std;

//車牌寬高比為520/110=4.727272左右，誤差不超過40%
//車牌高度范圍在15~125之間，視攝像頭距離而定（圖像大小）
bool?verifySizes_closeImg（const?RotatedRect?&?candidate）
{
????float?error?=?0.4;//誤差40%
????const?float?aspect?=?4.7272;//44/14;?//長寬比
????int?min?=?15*aspect*15;//20*aspect*20;?//面積下限，最小區(qū)域
????int?max?=?125*aspect*125;//180*aspect*180;??//面積上限，最大區(qū)域
????float?rmin?=?aspect?-?aspect*error;?//考慮誤差后的最小長寬比
????float?rmax?=?aspect?+?aspect*error;?//考慮誤差后的最大長寬比

????int?area?=?candidate.size.height?*?candidate.size.width;//計算面積
????float?r?=?（float）candidate.size.width/（float）candidate.size.height;//計算寬高比
????if（r?<1）
????????r?=?1/r;

????if（?（area??max）?||?（r?rmax）??）//滿足條件才認為是車牌候選區(qū)域
????????return?false;
????else
????????return?true;
}

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];??
????????}
????}
}

void?normal_area（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)圖像使其得到長大于高度圖像。
????????Mat?rotmat?=?getRotationMatrix2D（rects_optimal[i].center??angle1）;//獲得變形矩陣對象
????????Mat?img_rotated;
????????warpAffine（intputImg?img_rotatedrotmat?intputImg.size（）CV_INTER_CUBIC）;
????????imwrite（“car_rotated.jpg“img_rotated）;//得到旋轉(zhuǎn)圖像

????????//裁剪圖像
????????Size?rect_size?=?rects_optimal[i].size;
????????if（r<1）
????????????swap（rect_size.width?rect_size.height）;?//交換高和寬
????????Mat??img_crop;
????????getRectSubPix（img_rotated?rect_sizerects_optimal[i].center??img_crop?）;//圖像切割

????????//用光照直方圖調(diào)整所有裁剪得到的圖像，使具有相同寬度和高度，適用于訓(xùn)練和分類
????????Mat?resultResized;
????????//別人寫的：
????????/*resultResized.create（33144CV32FC1）;
????????resize（img_crop??resultResizedresultResized.size（）??00INTER_CUBIC）;
????????resultResized.convertTo（resultResized?CV32FC1）;
????????resultResized?=?resultResized.reshape（11）;*/

????????resultResized.create（33144CV_8UC3）;//CV32FC1？？？？
????????resize（img_crop??resultResizedresultResized.size（）??00INTER_CUBIC）;
????????Mat?grayResult;
????????RgbConvToGra

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件?????795336??2018-03-21?13:28??car_number\ann_xml.xml

?????文件??????61946??2018-03-21?13:28??car_number\ann_xml_character.xml

?????文件??????31900??2018-03-14?12:51??car_number\car.jpg

?????文件??????20409??2019-01-21?00:08??car_number\main.cpp

?????文件????4139007??2017-03-21?16:01??car_number\SVM.xml

?????目錄??????????0??2019-01-21?00:08??car_number

-----------?---------??----------?-----??----

??????????????5048598????????????????????6