Question

MATLAB程序转换成 opencv的c++程序

求大神帮忙把下面MATLAB图像拼接程序转成opencv的c++程序

clc
clear all
close all

right = imread('right.jpg');
left = imread('left.jpg');
front = imread('front.jpg');
back = imread('back.jpg');
% carm = imread('carm.jpg');

front = im2double(imresize(front, [150, 400]));
back = im2double(imresize(back, [150, 400]));
left = imresize(left, [150, 400]);
right = imresize(right, [150 400]);

left = im2double(imrotate(left, 90));
right = im2double(imrotate(right, -90));
back = im2double(imrotate(back, 180));

figure,
imshow(front)
figure,
imshow(back)
figure,
imshow(left)
figure,
imshow(right)
% figure,
% imshow(carm)

d = zeros(400,400,3);

for i = 1:3
d(1:150, 151:250, i) = front(1:150, 151:250, i);
d(251:400, 151:250, i) = back(1:150, 151:250, i);
d(151:250, 1:150, i) = left(151:250, 1:150, i);
d(151:250, 251:400, i) = right(151:250, 1:150, i);
d(150:250, 150:250, i) = 25;

for k = 1:150
for j = 1:150
if(k<j-1)
d(k,j, i) = front(k,j, i);
d(k+250,j+250, i) = right(k+250,j, i);

elseif(j<k-1)
d(k,j, i) = left(k,j,i);
d(k+250,j+250, i) = back(k,j+250,i);
end
if(j<150-(k+1))
d(k, j+250, i) = front(k, j+250, i);
d(k+250, j, i) = left(k+250, j, i);
elseif(j>(150-k)+1)
d(k, j+250, i) = right(k, j, i);
d(k+250, j, i) = back(k, j, i);
end
end
end
end

figure,
imshow(d)

Answer 1

OpenCV

整个项目的结构图：

编写DetectFaceDemo.java,代码如下：

[java] view
plaincopyprint?

package com.njupt.zhb.test;

import org.opencv.core.Core;

import org.opencv.core.Mat;

import org.opencv.core.MatOfRect;

import org.opencv.core.Point;

import org.opencv.core.Rect;

import org.opencv.core.Scalar;

import org.opencv.highgui.Highgui;

import org.opencv.objdetect.CascadeClassifier;

//

// Detects faces in an image, draws boxes around them, and writes the results

// to "faceDetection.png".

//

public class DetectFaceDemo {

public void run() {

System.out.println("\nRunning DetectFaceDemo");

System.out.println(getClass().getResource("lbpcascade_frontalface.xml").getPath());

// Create a face detector from the cascade file in the resources

// directory.

//CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("lbpcascade_frontalface.xml").getPath());

//Mat image = Highgui.imread(getClass().getResource("lena.png").getPath());

//注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误

/*

* Detected 0 faces Writing faceDetection.png libpng warning: Image

* width is zero in IHDR libpng warning: Image height is zero in IHDR

* libpng error: Invalid IHDR data

*/

//因此，我们将第一个字符去掉

String xmlfilePath=getClass().getResource("lbpcascade_frontalface.xml").getPath().substring(1);

CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath);

Mat image = Highgui.imread(getClass().getResource("we.jpg").getPath().substring(1));

// Detect faces in the image.

// MatOfRect is a special container class for Rect.

MatOfRect faceDetections = new MatOfRect();

faceDetector.detectMultiScale(image, faceDetections);

System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));

// Draw a bounding box around each face.

for (Rect rect : faceDetections.toArray()) {

Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));

}

// Save the visualized detection.

String filename = "faceDetection.png";

System.out.println(String.format("Writing %s", filename));

Highgui.imwrite(filename, image);

}

}
package com.njupt.zhb.test;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.highgui.Highgui;
import org.opencv.objdetect.CascadeClassifier;

//
// Detects faces in an image, draws boxes around them, and writes the results
// to "faceDetection.png".
//
public class DetectFaceDemo {
public void run() {
System.out.println("\nRunning DetectFaceDemo");
System.out.println(getClass().getResource("lbpcascade_frontalface.xml").getPath());
// Create a face detector from the cascade file in the resources
// directory.
//CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("lbpcascade_frontalface.xml").getPath());
//Mat image = Highgui.imread(getClass().getResource("lena.png").getPath());
//注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误
/*
* Detected 0 faces Writing faceDetection.png libpng warning: Image
* width is zero in IHDR libpng warning: Image height is zero in IHDR
* libpng error: Invalid IHDR data
*/
//因此，我们将第一个字符去掉
String xmlfilePath=getClass().getResource("lbpcascade_frontalface.xml").getPath().substring(1);
CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath);
Mat image = Highgui.imread(getClass().getResource("we.jpg").getPath().substring(1));
// Detect faces in the image.
// MatOfRect is a special container class for Rect.
MatOfRect faceDetections = new MatOfRect();
faceDetector.detectMultiScale(image, faceDetections);

System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));

// Draw a bounding box around each face.
for (Rect rect : faceDetections.toArray()) {
Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
}

// Save the visualized detection.
String filename = "faceDetection.png";
System.out.println(String.format("Writing %s", filename));
Highgui.imwrite(filename, image);
}
}

3.编写测试类：

[java] view
plaincopyprint?

package com.njupt.zhb.test;

public class TestMain {

public static void main(String[] args) {

System.out.println("Hello, OpenCV");

// Load the native library.

System.loadLibrary("opencv_java246");

new DetectFaceDemo().run();

}

}

//运行结果:

//Hello, OpenCV

//

//Running DetectFaceDemo

///E:/eclipse_Jee/workspace/JavaOpenCV246/bin/com/njupt/zhb/test/lbpcascade_frontalface.xml

//Detected 8 faces

//Writing faceDetection.png
package com.njupt.zhb.test;
public class TestMain {
public static void main(String[] args) {
System.out.println("Hello, OpenCV");
// Load the native library.
System.loadLibrary("opencv_java246");
new DetectFaceDemo().run();
}
}
//运行结果:
//Hello, OpenCV
//
//Running DetectFaceDemo
///E:/eclipse_Jee/workspace/JavaOpenCV246/bin/com/njupt/zhb/test/lbpcascade_frontalface.xml
//Detected 8 faces
//Writing faceDetection.png

追问

亲，虽然很感谢你码了这么多字，但有点儿可惜这不是我想要的……
首先这是一个简单的matlab图像强制拼接程序，就是把几张图像从固定点剪切在拼成一张图，我想换成opencv加C语言的环境，但是你给的是个java程序，而且是人脸识别的程序。
不过还是要谢谢你的回答~