红外芯片由于工艺问题存在严重的分均匀性，所以非均匀矫正一直是影响红外图像质量的第一因素。分均匀矫正的算法也是红外图像处理研究的重点区域，建立了一些矫正的方式方法。其中最常用最简单的就应该算是两点温度定标算法。

应用两点法校正有两个前提条件，第一，探测器的响应在所关注的温度范围内是线性变化的，第二，探测器的响应具有时间的稳定性，并且其受随机噪声的影响较小，则非均匀性引入固定模式的乘性和加性噪声。

具体过程基本分为三步：

一、两温度下采集均匀原始数据

二、根据原始数据计算校正参数

三、将矫正参数带入实时原始图进行校正

matlab实现的的.m文件内容如下：

clear;

clc;

%%%%%%%%%%%%%%低温下对9帧图像取平均值%%%%%%%%%%%%%

save1=zeros(3,2,9,'uint16');

for i = 1:9;    %连续读M帧图像，存入三维数组

fid = textread(strcat('300',num2str(i),'b.txt'),'%s');

fid1 = hex2dec(fid);

save1(:,:,i) = reshape(fid1,3,2);

end

%求M帧的平均值，消除偶然误差

sample1 = zeros(3,2,'double');

sample1 = double(save1(:,:,1)+save1(:,:,2)+save1(:,:,3)+save1(:,:,4)+save1(:,:,5)+save1(:,:,6)+save1(:,:,7)+save1(:,:,8)+save1(:,:,9))/9;

subplot(2,2,1), imshow(uint8(sample1));

title('T1温度原始图');

%%%%%%%%%%%%%低温下对9帧图像取平均值%%%%%%%%%%%%%%%

save2=zeros(3,2,9,'uint16');

for i = 1:9;

fid = textread(strcat('700',num2str(i),'b.txt'),'%s');

fid1 = hex2dec(fid);

save2(:,:,i) = reshape(fid1,3,2);

end

sample2 = zeros(3,2,'double');

sample2= double(save2(:,:,1)+save2(:,:,2)+save2(:,:,3)+save2(:,:,4)+save2(:,:,5)+save2(:,:,6)+save2(:,:,7)+save2(:,:,8)+save2(:,:,9))/9;

subplot(2,2,2),imshow(uint8(sample2));

title('T2温度原始图');

%%%%%%%%%%%%%%%计算校正因子%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

avr1=sum(sample1(:))/(3*2);

avr2=sum(sample2(:))/(3*2);

G = zeros(3,2,'double');

O = zeros(3,2,'double');

M = zeros(3,2,'double');

for i=1:3;

for j=1:2;

G(i,j) = (avr2-avr1)/(sample2(i,j)-sample1(i,j));  %计算增益

O(i,j) = avr1-G(i,j)*sample1(i,j);   %计算偏移量

%O(i,j) =(avr2*double(sample1(i,j))-avr1*double(sample2(i,j)))/double(sample1(i,j)-sample2(i,j));

end

end

file = fopen('2dian4p000s17.txt','wt');

count = fwrite(file,G,'uint16');

%%%%%%%%%%%%%%校正场景图片%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

fid = textread('4p000s.txt','%s');

fid1 = hex2dec(fid);

test2=reshape(fid1,3,2);

%%%%%%%%%%%%%%%%%%%%%%%%%校正得到全部结果%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

for i=1:3;

for j=1:2;

M(i,j) = G(i,j)*double(test2(i,j))+O(i,j);

end

end

for i=1:3;

for j=1:2;

final(i,j) = uint16(M(i,j));

end

end

subplot(2,2,3),imshow(uint8(final));title('校正后 ');

subplot(2,2,4),imshow(uint8(test2));title('非均匀原始图');

file = fopen('2dian4p000s16.txt','wt');

count = fwrite(file,final,'double');

运行结果如下所示：

：

可以自己造图才跑，数据文件上传太繁琐了就没上传，如果有兴趣可以找我来要。

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