opencv的resize和matlab的imresize函数的计算

在用c++代码复现matlab代码时，遇到两者resize函数的结果不相同的问题。

opencv:

resize(image1, reTmp, Size(50, 50), 0, 0, cv::INTER_LINEAR);

matlab:

tmp=imresize(img,[50 50],'bilinear','AntiAliasing',false);

以一张500×396的彩色图片为例，resize到(50,50)：

 

matlab  imresize代码：

img=imread('image/cluo.jpg');
img=single(img);
for i=1:10
    fprintf('%.6f ',img(1,i,1));
end
fprintf('\n');
tmp=imresize(img,[50 50],'bilinear','AntiAliasing',false);
for i=1:10
    fprintf('%.6f ',tmp(1,i,1));
end

c++ resize代码：

#include <opencv2\opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;

void main()
{
    Mat image = imread("cluo.jpg");

    Mat image1(image.rows, image.cols, CV_32FC3);
    for (int i = 0; i < image.rows; i++)
        for (int j = 0; j < image.cols; j++)
        {
            image1.at<Vec3f>(i, j)[2] = image.at<Vec3b>(i, j)[0];
            image1.at<Vec3f>(i, j)[1] = image.at<Vec3b>(i, j)[1];
            image1.at<Vec3f>(i, j)[0] = image.at<Vec3b>(i, j)[2];
        }

    //打印输出resize前r通道前10个像素点的坐标
    for (int i = 0; i < 10; i++)
        printf("%.6f ", image1.at<Vec3f>(0, i)[0]);
    printf("\n");
    Mat reTmp;
    resize(image1, reTmp, Size(50, 50), 0, 0, cv::INTER_LINEAR);
    //resize(image1, reTmp, Size(50, 50), 0, 0, cv::INTER_NEAREST);
    //打印输出resize后r通道前10个像素点的坐标
    for (int i = 0; i < 10; i++)
        printf("%f ", reTmp.at<Vec3f>(0, i)[0]);
    printf("\n");

    system("pause");
}

结果比较：

结果基本相同

matlab中默认的     tmp=imresize(img,[50 50],'bilinear');    函数是打开了抗锯齿   结果和opencv中的INTER_LINEAR不相同

 

matlab  和  opencv中  nearest  方式的结果比较：

c++:    resize(image1, reTmp, Size(50, 50), 0, 0, cv::INTER_NEAREST);

matlab:   tmp=imresize(img,[50 50],'nearest');

matlab:   tmp=imresize(img,[50 50],'nearest','AntiAliasing',false);

结果不相同