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※ 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;
}
};
}
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◆ 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)
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