使用opencv自带的融合函数

[wiki,blog]使用opencv自带的融合函数

[wiki,blog]使用opencv自带的融合函数

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#include "stdafx.h"

#include "test_precomp.hpp"

#include <opencv2/core.hpp>

#include <opencv2/highgui.hpp>

 

using namespace cv;

using namespace std;

 

int main()

{

    Mat image1 = imread( "c:\\3.jpg");

    Mat image2 = imread( "c:\\4.jpg");

    ASSERT_EQ(image1.rows, image2.rows); ASSERT_EQ(image1.cols, image2.cols);

 

    Mat image1s, image2s;

    image1.convertTo(image1s, CV_16S);

    image2.convertTo(image2s, CV_16S);

 

    Mat mask1(image1s.size(), CV_8U);

   /* mask1(Rect(0, 0, mask1.cols/2, mask1.rows)).setTo(255);

    mask1(Rect(mask1.cols/2, 0, mask1.cols - mask1.cols/2, mask1.rows)).setTo(0);*/

                mask1(Rect(0,0, mask1.cols , mask1.rows)).setTo(0);

                mask1(Rect(0, 0, mask1.cols, mask1.rows/2)).setTo(255);

                

 

    Mat mask2(image2s.size(), CV_8U);

   /* mask2(Rect(0, 0, mask2.cols/2, mask2.rows)).setTo(0);

    mask2(Rect(mask2.cols/2, 0, mask2.cols - mask2.cols/2, mask2.rows)).setTo(255);*/

                mask2(Rect(0,0, mask2.cols , mask2.rows)).setTo(255);

                mask2(Rect(0, 0, mask2.cols, mask2.rows/2)).setTo(0);

 

 

    detail::MultiBandBlender blender( false, 5);

 

    blender.prepare(Rect(0, 0, max(image1s.cols, image2s.cols), max(image1s.rows, image2s.rows)));

    blender.feed(image1s, mask1, Point(0,0));

    blender.feed(image2s, mask2, Point(0,0));

 

    Mat result_s, result_mask;

    blender.blend(result_s, result_mask);

    Mat result; result_s.convertTo(result, CV_8U);

 

                cv::imshow( "result",result);

                cv::imwrite( "baboon_lena.jpg",result);

                cv::waitKey();

 

}

实现了速度很快，效果很好的mulitband的结果，但是对于实际的项目也是有不足的，就是只能输入两幅图像。如果需要用于实际的项目，就需要进行修正，使得其能够一下子用于许多图像。

  

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