Matlab实现遥感图像2%线性拉伸

本文主要是介绍Matlab实现遥感图像2%线性拉伸，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

function outImg = GrayScaleTransform(img)[ylen, xlen] = size(img);bins = 0:65535;histcount = histc(img(:)', bins); %清除临时变量 clear bins max_val min_val; % 直方图裁剪，计算左值和右值[l_val, r_val] = calc_lr_val(histcount, xlen*ylen, 0.02); % 根据左值和右值，将图像由16位映射至8位 outImg = img_map(img, l_val, r_val); 
endfunction [img_8bit] = img_map(img_16bit, l_val, r_val)[xlen, ylen, c] = size(img_16bit);img_8bit = zeros(xlen, ylen);%     fprintf(' ... ... ... ... ... ... ... ... ...\n');
%     fprintf(' ... IMG MAPPING FROM 16BIT TO 8BIT \n');    
%     fprintf(' ... Img mapping begin ... ... \n');% 按照左右值映射img_8bit = (img_16bit - l_val).*(255/(r_val-l_val));img_8bit = uint8(round(img_8bit));%     fprintf(' ... Img mapping finshied !!! !!! \n\n');endfunction [l_val, r_val] = calc_lr_val(histcount, tt, per)%     fprintf(' ... ... ... ... ... ... ... ... ...\n');
%     fprintf(' ... CALC LEFT AND RIGHT VALUE \n');per_tt = tt*per;  % 按百分比裁剪的像素个数 % 计算左值tmp = 0;for i = 1:length(histcount)tmp = tmp + histcount(i);if tmp >= per_ttl_val = i;break;endend% 计算右值tmp = 0;for i = 1:length(histcount)tmp = tmp + histcount(length(histcount)-i+1);if tmp >= per_ttr_val = length(histcount)-i+1;break;endend%     fprintf(' ... Stretch Percentage is %d%%\n', per*100);
%     fprintf(' ... Left Val is %d \n', l_val);
%     fprintf(' ... Right Val is %d \n', r_val);
%     fprintf(' ... ... ... ... ... ... ... ... ...\n\n');end

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