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資源簡介

使用opencv實現halcon中算子find_scaled_shape_model的功能，具體功能參見博客https://blog.csdn.net/sillykog/article/details/83116793

資源截圖

代碼片段和文件信息 

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//**************	以下代碼由廈門大學陳默含提供，如需使用，記得說聲謝謝，嗯	//**************//
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#include?“StdAfx.h“
#include?
#include?
#include?
#include?
#include?
#include
using?namespace?cv;
using?namespace?std;
using?namespace?concurrency;
#define?WINDOW_NAME?“[程序窗口]“

#include
#include
#include
#include
#include?

void?imrotate（Mat&?img?Mat&?newIm?double?angle）;
void?on_mouse（int?EVENT?int?x?int?y?int?flags?void*?userdata）;

void?CreateScaledShapeModel（Mat?Template?int?PyrLevel?int?AngleStart?int?AngleExtent?int?AngleStep?float?ScaleMin?float?ScaleMax?float?ScaleStep?\
	vector*?pModelImageSet?vector*?pModelPointSet?vector*?pScaleSet?vector*?pAngleSet）;

void?FindScaledShapeModel（Mat?Image?vector?ModelImageSet?vector?ModelPointSet?vector?ScaleSet?vector?AngleSet?int?PyrLevel?float?MinScore?\
	vector*?pRow?vector?*?pCol?vector*?pScale?vector*?pAngle?vector*?pScore）;

int?main（）
{		
	//縮放參數
	float?scaleMin?=?0.9?scaleMax?=?1.1?scaleStep?=?0.1;
	//角度參數
	float?angleStart?=?0?angleExtent?=?330?angleStep?=?15;
	//金字塔層數，規定在多大的金字塔圖中搜索，數字越大，圖片越小，搜索越快
	int?pyrLevel?=?2;
	//最小得分限制
	float?minScore?=?0.6;
	
	//生成模版集合
	vector?scaleSet;
	vector?angleSet;
	vector?modelImageSet;
	vector?modelPointSet;
	vector?row?col;
	vector?scale?angle?score;

	//待檢測圖片
	//Mat?srcImage?=?imread（“img/a.png“）;
	Mat?srcImage=imread（“img/5.png“）;
	Mat?cannysrcImage?tempsrcImage;
	blur（srcImage?srcImageSize（33）?）;
	Canny（srcImage?cannysrcImage?100?200?3?false）;
	Canny（srcImage?tempsrcImage?100?200?3?false）;
	for?（int?i?=?0;?i?	{
		pyrDown（tempsrcImage?tempsrcImage）;
	}
	threshold（tempsrcImage?tempsrcImage30?255?THRESH_BINARY）;
	imshow（“原始圖“?tempsrcImage）;
	waitKey（10）;
	//模版圖片
	//Mat?modelImage?=?imread（“img/q.png“?0）（Rect

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-10-17?20:09??形狀匹配速度稍微優化版\
?????目錄???????????0??2018-10-16?15:21??形狀匹配速度稍微優化版\.vs\
?????目錄???????????0??2018-10-16?15:21??形狀匹配速度稍微優化版\.vs\opencv\
?????目錄???????????0??2018-10-17?20:38??形狀匹配速度稍微優化版\.vs\opencv\v15\
?????文件???????54272??2018-10-17?20:38??形狀匹配速度稍微優化版\.vs\opencv\v15\.suo
?????文件????16216064??2018-10-17?20:38??形狀匹配速度稍微優化版\.vs\opencv\v15\Browse.VC.db
?????目錄???????????0??2018-10-17?15:26??形狀匹配速度稍微優化版\.vs\opencv\v15\ipch\
?????文件?????3342336??2018-10-17?20:36??形狀匹配速度稍微優化版\.vs\opencv\v15\ipch\49899fd2166a4a52.ipch
?????文件?????3276800??2018-10-13?19:38??形狀匹配速度稍微優化版\.vs\opencv\v15\ipch\4c971aaee77ee462.ipch
?????文件?????3342336??2018-10-10?17:44??形狀匹配速度稍微優化版\.vs\opencv\v15\ipch\5af74942700cda17.ipch
?????目錄???????????0??2018-10-16?15:21??形狀匹配速度稍微優化版\.vs\opencv\v15\ipch\AutoPCH\
?????目錄???????????0??2018-10-16?15:21??形狀匹配速度稍微優化版\.vs\opencv\v15\ipch\AutoPCH\d77012004d5e8106\
?????文件?????1441792??2018-10-13?18:30??形狀匹配速度稍微優化版\.vs\opencv\v15\ipch\AutoPCH\d77012004d5e8106\FILTER.ipch
?????文件?????3342336??2018-10-16?16:12??形狀匹配速度稍微優化版\.vs\opencv\v15\ipch\a64306e41af6dbe5.ipch
?????文件?????3342336??2018-10-15?15:59??形狀匹配速度稍微優化版\.vs\opencv\v15\ipch\d0517e3ad7ee87d7.ipch
?????目錄???????????0??2018-10-17?20:39??形狀匹配速度稍微優化版\Debug\
?????目錄???????????0??2018-10-16?15:21??形狀匹配速度稍微優化版\ipch\
?????目錄???????????0??2018-10-16?15:21??形狀匹配速度稍微優化版\ipch\opencv-3cc21ff9\
?????文件?????3014656??2017-07-25?18:06??形狀匹配速度稍微優化版\ipch\opencv-3cc21ff9\opencv-d7544675.ipch
?????目錄???????????0??2018-10-16?15:21??形狀匹配速度稍微優化版\ipch\opencv-9a9aaa57\
?????文件?????3014656??2017-07-01?10:14??形狀匹配速度稍微優化版\ipch\opencv-9a9aaa57\opencv-d7544675.ipch
?????目錄???????????0??2018-10-16?15:21??形狀匹配速度稍微優化版\ipch\opencv-e8a84f48\
?????文件?????3014656??2018-05-18?21:25??形狀匹配速度稍微優化版\ipch\opencv-e8a84f48\opencv-d7544675.ipch
?????目錄???????????0??2018-10-17?20:37??形狀匹配速度稍微優化版\opencv\
?????目錄???????????0??2018-10-16?15:21??形狀匹配速度稍微優化版\opencv\Debug\
?????文件???????18914??2017-02-17?16:21??形狀匹配速度稍微優化版\opencv\Debug\CL.read.1.tlog
?????文件????????1000??2017-02-17?16:21??形狀匹配速度稍微優化版\opencv\Debug\CL.write.1.tlog
?????文件????????1570??2017-02-17?16:21??形狀匹配速度稍微優化版\opencv\Debug\cl.command.1.tlog
?????文件???????????2??2017-02-17?16:21??形狀匹配速度稍微優化版\opencv\Debug\link.command.1.tlog
?????文件???????????2??2017-02-17?16:21??形狀匹配速度稍微優化版\opencv\Debug\link.read.1.tlog
?????文件???????????2??2017-02-17?16:21??形狀匹配速度稍微優化版\opencv\Debug\link.write.1.tlog
............此處省略96個文件信息

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