【农田杂草识别】基于sift特征提取的农田杂草识别_牧草识别 fpga

clc;
clear;
close all;
warning off;
addpath 'func\'
 
%1的话设置连线
Feature_point = 1;
%是否需要重新特征提取,%1:对以一组新的图片，需要选择1，对于同一组图片，直接设置0
sel     = 1;
t       = sqrt(2).^([0]);%选择不同的角度t，arccos(1/t);
 
%读取图片
img1 = imresize(imread('A1.jpg'),0.8);
img2 = imresize(imread('杂草模板\B.jpg'),0.8);
 
%转换为灰度图
[R,C,K] = size(img1);
if K == 3
    img1s = rgb2gray(img1);
else
    img1s = img1;
end
 
[R,C,K] = size(img2);
if K == 3
    img2s = rgb2gray(img2);
else 
    img2s = img2;
end
 
 
%计算图片的大小
[m1,n1] = size(img1s);
[m2,n2] = size(img2s);
 
%对两个图片分别进行角度选择和不同角度的特征提取
if sel == 1
     tic;
     disp('对图片1进行处理');
     [Hrl_feature1,Hr_pointl_feature1,cnt1]=func_sift_angle(img1s,m1,n1,t);
     Time = toc;
     disp('对图片2进行处理');
     [Hrl_feature2,Hr_pointl_feature2,cnt2]=func_sift_angle(img2s,m2,n2,t);
     save feature_data_B1.mat  Hrl_feature1 Hr_pointl_feature1 Hrl_feature2 Hr_pointl_feature2 cnt1 cnt2 Time
else
     load feature_data_B1.mat     
end
 
%进行配准
pp           = 0;
level        = 0.7;%这个参数要根据不同的测试样本进行调整 
image_match1 = []; 
image_match2 = []; 
for i = 1:(cnt1 - 1)
    for j = 1:(cnt2 -1)
    pp = pp + 1;
    fprintf('处理进度：');fprintf('%3.2f',100*pp/(cnt1*cnt2));fprintf('%%\n\n');  
    NF1(i)       = size(Hrl_feature1{i},1);
    NF2(j)       = size(Hrl_feature2{j},1);
    same_feature = func_feature_match(Hrl_feature1{i},Hrl_feature2{j},level);            
    ind1         = find(same_feature);
    ind2         = same_feature(ind1);
    %根据门限来选择一定区域内的配准点
    ind          = find(sqrt(sum(((Hrl_feature1{i}(ind1,:)-Hrl_feature2{j}(ind2,:)).^2),2)) <= level);
    ind1         = ind1(ind);
    ind2         = ind2(ind);
    Match1Tmp    = Hr_pointl_feature1{i}(ind1,[ 1 2 3 end ]);
    Match2Tmp    = Hr_pointl_feature2{j}(ind2,[ 1 2 3 end ]);
    image_match1 = [image_match1;Match1Tmp]; 
    image_match2 = [image_match2;Match2Tmp]; 
    end
end
close all;
%显示最后处理的定位效果
[LineCoordX,LineCoordY,N] = func_figure(img1s,image_match1,img2s,image_match2,Feature_point);
 
 
figure;
imshow(img1);
hold on
r=40;
theta=0:pi/50:2*pi;
for i = 1:N
    x0=LineCoordX(1,i);
    y0=LineCoordY(1,i);
    x=x0+r*cos(theta);
    y=y0+r*sin(theta);
    plot(x,y,'g-','linewidth',2);
    hold on
end
 
 
 
 
 

A10-49