图像匹配matlab
时间: 2023-08-26 22:17:32 浏览: 46
图像匹配在Matlab中的实现可以使用函数`match`。这个函数的作用是匹配第一幅图像和第二幅图像的特征描述子,并返回匹配的索引。其中,匹配的向量的夹角余弦值小于一个阈值`distRatio`。具体的实现可以参考以下代码:
```matlab
function [matched = match(des1, des2)
% Function: Match descriptors from the 1st to the 2nd, return matched index.
% matched vectors' angles from the nearest to second nearest neighbor is less than distRatio.
distRatio = 0.4;
% for each descriptor in the first image, select its match to second image.
des2t = des2';
n = size(des1,1);
matched = zeros(1,n);
for i = 1 : n
dotprods = des1(i,:) * des2t;
[values,index = sort(acos(dotprods));
if (values(1) < distRatio * values(2))
matched(i) = index(1);
else
matched(i) = 0;
end
end
end
```
在主程序中,首先加载图像,然后使用`getFeatures`函数获取图像的特征描述子和位置。然后调用`match`函数进行特征匹配,并传入描述子。最后,使用`drawFeatures`函数绘制特征点,使用`drawMatched`函数绘制匹配的特征点。具体的实现可以参考以下代码:
```matlab
clc
clear
tic
img1 = imread('20.jpg');
img2 = imread('21.png');
= getFeatures(img1);
= getFeatures(img2);
matched = match(des1,des2);
drawFeatures(img1,loc1);
drawFeatures(img2,loc2);
drawMatched(matched,img1,img2,loc1,loc2);
toc
```
这样就可以实现图像匹配的功能。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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