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。
  使用opencv自带的融合函数
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