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項目	內容
發文者	@_@
日期	2011/7/20 下午 03:21:41
標題	補上程式
Message Id	56lXZa$7qL@ptt.cc
內文	※ 引述《SUPERERIC (@_@)》之銘言： : 現在正用OpenCV 寫影像辨識,參考OpenCV中文網站 : http://www.opencv.org.cn/index.php/Cv%E5%9B%BE%E5%83%8F%E5%A4%84%E7%90%86#Smooth : 看了些資料,都說到第一步要平滑化(smooth) : 在OpenCV中文網站提到的OpenCV : 那裏雖然提到基本語法,但沒有範例 : 請問有Visual C++ OpenCV 平滑化的範例嗎? : 而且我要做的是影片辨識,不知道處理法跟靜態辨識差異在哪? 現在我找到一系列:二值化、灰階化、取背、取輪廓圖像的程式 http://ppt.cc/m5hr 我是利用Visual C++ 配合OpenCV 現在我想要輸入一個"動態影像"去做辨識請問我該從何下手(我想要一秒大概抓30個圖片) 我想問: 1.如何抓到檔案 2.如何建立記憶體空間 3.抓到我想要顏色、輪廓以下是程式(我用一個button觸發) 抱歉!可能閱讀困難,不好意思,稍後附上排版好的原檔 #pragma once #include "stdafx.h"#include <stdlib.h>#include <math.h>#include <string>#include <stdio.h>#include <cv.h>#include <highgui.h>#include <direct.h> CvCapture open_webcam; IplImage webcam; IplImage open_Image; int argc; char argv[50]; IplImage src = 0; //定義源圖像指針 IplImage tmp = 0; //定義臨時圖像指針 IplImage src_back = 0; //定義源圖像背景指針 IplImage dst_gray = 0; //定義源文件去掉背景後的目標灰度圖像指針 IplImage dst_bw = 0; //定義源文件去掉背景後的目標二值圖像指針 IplImage dst_contours = 0; //定義輪廓圖像指針 IplConvKernel element = 0; //定義形態學結構指針 int Number_Object =0; //定義目標對象數量 int contour_area_tmp = 0; //定義目標對象面積臨時寄存器 int contour_area_sum = 0; //定義目標所有對象面積的和 int contour_area_ave = 0; //定義目標對象面積平均值 int contour_area_max = 0; //定義目標對象面積最大值 CvMemStorage stor = 0; CvSeq * cont = 0; CvContourScanner contour_scanner; CvSeq * a_contour= 0; namespace OPENCV { using namespace System; using namespace System::ComponentModel; using namespace System::Collections; using namespace System::Windows::Forms; using namespace System::Data; using namespace System::Drawing; /// <summary> /// Form1 的摘要 /// /// 警告: 如果您變更這個類別的名稱，就必須變更與這個類別所依據之所有 .resx 檔案關聯的 /// Managed 資源編譯器工具的 'Resource File Name' 屬性。 /// 否則，這些設計工具 /// 將無法與這個表單關聯的當地語系化資源 /// 正確互動。 /// </summary> public ref class Form1 : public System::Windows::Forms::Form { public: Form1(void) { InitializeComponent(); // //TODO: 在此加入建構函式程式碼 // } protected: /// <summary> /// 清除任何使用中的資源。 /// </summary> ~Form1() { if (components) { delete components; } } private: System::Windows::Forms::Button^ button1; private: System::Windows::Forms::Button^ button2; private: System::Windows::Forms::Button^ button3; protected: private: /// <summary> /// 設計工具所需的變數。 /// </summary> System::ComponentModel::Container ^components; #pragma region Windows Form Designer generated code /// <summary> /// 此為設計工具支援所需的方法 - 請勿使用程式碼編輯器修改這個方法的內容。 /// /// </summary> void InitializeComponent(void) { this->button1 = (gcnew System::Windows::Forms::Button()); this->button2 = (gcnew System::Windows::Forms::Button()); this->button3 = (gcnew System::Windows::Forms::Button()); this->SuspendLayout(); // // button1 // this->button1->Location = System::Drawing::Point(12, 182); this->button1->Name = L"button1"; this->button1->Size = System::Drawing::Size(84, 23); this->button1->TabIndex = 0; this->button1->Text = L"open_webcam"; this->button1->UseVisualStyleBackColor = true; this->button1->Click += gcnew System::EventHandler(this, &Form1::button1_Click); // // button2 // this->button2->Location = System::Drawing::Point(188, 182); this->button2->Name = L"button2"; this->button2->Size = System::Drawing::Size(84, 23); this->button2->TabIndex = 1; this->button2->Text = L"showpicture"; this->button2->UseVisualStyleBackColor = true; this->button2->Click += gcnew System::EventHandler(this, &Form1::button2_Click); // // button3 // this->button3->Location = System::Drawing::Point(112, 143); this->button3->Name = L"button3"; this->button3->Size = System::Drawing::Size(75, 23); this->button3->TabIndex = 2; this->button3->Text = L"show1"; this->button3->UseVisualStyleBackColor = true; this->button3->Click += gcnew System::EventHandler(this, &Form1::button3_Click); // // Form1 // this->AutoScaleDimensions = System::Drawing::SizeF(6, 12); this->AutoScaleMode = System::Windows::Forms::AutoScaleMode::Font; this->ClientSize = System::Drawing::Size(284, 262); this->Controls->Add(this->button3); this->Controls->Add(this->button2); this->Controls->Add(this->button1); this->Name = L"Form1"; this->Text = L"Form1"; this->Load += gcnew System::EventHandler(this, &Form1::Form1_Load); this->ResumeLayout(false); } #pragma endregion private: System::Void Form1_Load(System::Object^ sender, System::EventArgs^ e) { } private: System::Void button1_Click(System::Object^ sender, System::EventArgs^ e) { //**********************************************// // Open Camera // open_webcam =cvCaptureFromCAM(0); cvNamedWindow("open_webcam",1); while(1) { webcam = cvQueryFrame(open_webcam); cvShowImage("open_webcam",webcam); if(cvWaitKey(10)>=0) { break; } } cvReleaseCapture(&open_webcam); cvDestroyWindow("open_webcam"); } private: System::Void button2_Click(System::Object^ sender, System::EventArgs^ e) { //*********************************************// // Open Image // open_Image = cvLoadImage("lenna_256.bmp",1); cvNamedWindow("showpicture", 0); while(1) { cvShowImage("showpicture", open_Image); if(cvWaitKey(10)>=0) { break; } } cvDestroyWindow("showpicture"); } private: System::Void button3_Click(System::Object^ sender, System::EventArgs^ e) { //1.讀取和顯示圖像 / the first command line parameter must be image file name */ if ( argc == 2 && (src = cvLoadImage(argv[1], 0))!=0 ) { ; } else { src = cvLoadImage("rice.jpg", 0); } cvNamedWindow( "src", CV_WINDOW_AUTOSIZE ); cvShowImage( "src", src ); //cvSmooth(src, src, CV_MEDIAN, 3, 0, 0, 0); //中值濾波，消除小的雜訊； //2.估計圖像背景 tmp = cvCreateImage( cvGetSize(src), src->depth, src->nChannels); src_back = cvCreateImage( cvGetSize(src), src->depth, src->nChannels); //創建結構元素 element = cvCreateStructuringElementEx( 4, 4, 1, 1, CV_SHAPE_ELLIPSE, 0); //用該結構對源圖象進行數學形態學的開操作後，估計背景亮度 cvErode( src, tmp, element, 10); cvDilate( tmp, src_back, element, 10); cvNamedWindow( "src_back", CV_WINDOW_AUTOSIZE ); cvShowImage( "src_back", src_back ); //3.從源圖象中減區背景圖像 dst_gray = cvCreateImage( cvGetSize(src), src->depth, src->nChannels); cvSub( src, src_back, dst_gray, 0); cvNamedWindow( "dst_gray", CV_WINDOW_AUTOSIZE ); cvShowImage( "dst_gray", dst_gray ); //4.使用閾值操作將圖像轉換為二值圖像 dst_bw = cvCreateImage( cvGetSize(src), src->depth, src->nChannels); cvThreshold( dst_gray, dst_bw ,50, 255, CV_THRESH_BINARY ); //取閾值為50把圖像轉為二值圖像 //cvAdaptiveThreshold( dst_gray, dst_bw, 255, CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY, 3, 5 ); cvNamedWindow( "dst_bw", CV_WINDOW_AUTOSIZE ); cvShowImage( "dst_bw", dst_bw ); //5.檢查圖像中的目標對象數量 stor = cvCreateMemStorage(0); cont = cvCreateSeq(CV_SEQ_ELTYPE_POINT, sizeof(CvSeq), sizeof(CvPoint), stor); Number_Object = cvFindContours( dst_bw, stor, &cont, sizeof(CvContour), CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0) ); //找到所有輪廓 printf("Number_Object: %d\n", Number_Object); //6.計算圖像中對象的統計屬性 dst_contours = cvCreateImage( cvGetSize(src), src->depth, src->nChannels); cvThreshold( dst_contours, dst_contours ,0, 255, CV_THRESH_BINARY); //在畫輪廓前先把圖像變成白色 for(;cont;cont = cont->h_next) { cvDrawContours( dst_contours, cont, CV_RGB(255, 0, 0), CV_RGB(255, 0, 0), 0, 1, 8, cvPoint(0, 0) ); //繪製當前輪廓 contour_area_tmp = fabs(cvContourArea( cont, CV_WHOLE_SEQ )); //獲取當前輪廓面積 if( contour_area_tmp > contour_area_max ) { contour_area_max = contour_area_tmp; //找到面積最大的輪廓 } contour_area_sum += contour_area_tmp; //求所有輪廓的面積和 } contour_area_ave = contour_area_sum/ Number_Object; //求出所有輪廓的平均值 printf("contour_area_ave: %d\n", contour_area_ave ); printf("contour_area_max: %d\n", contour_area_max ); cvNamedWindow( "dst_contours", CV_WINDOW_AUTOSIZE ); cvShowImage( "dst_contours", dst_contours ); cvWaitKey(-1); //等待退出 cvReleaseImage(&src); cvReleaseImage(&tmp); cvReleaseImage(&src_back); cvReleaseImage(&dst_gray); cvReleaseImage(&dst_bw); cvReleaseImage(&dst_contours); cvReleaseMemStorage(&stor); cvDestroyWindow( "src" ); cvDestroyWindow( "src_back" ); cvDestroyWindow( "dst_gray" ); cvDestroyWindow( "dst_bw" ); cvDestroyWindow( "dst_contours" ); //void cvDestroyAllWindows(void); //return 0; } }; } -- -- ㄧ○︿ \ √ ﹀.......GO!GO!GO! -- ※ 發信站: 批踢踢實業坊(ptt.cc) ◆ From: 120.96.45.46 ※ 編輯: SUPERERIC 來自: 120.96.45.46 (07/20 15:20) ※ 編輯: SUPERERIC 來自: 120.96.45.46 (07/20 15:21)