数字图像处理之错切问题

问题描述

修正原理

MATLAB代码实现

function []=Stamp(Origin_path, Need_to_fix_picture_path)
%% 本函数用于修正印章的错切问题
% Input:
%    Origin_path:原始理想图的存放路径
%    Need_to_fix_picture_path：待修复的图存放路径

    % 手动映射采点
    bad=[285,165;
        170,62;
        265,104;
        294,133;
        81,71;
        240,63;
        220,119;
        79,104;
        148,62];
    good=[205,167,1;139,62,1;216,105,1;231,133,1;46,70,1;211,63,1;163,119,1;28,105,1;119,61,1];
    
    % 回归得到错切修正系数
    Parameter_X=regress(bad(:,1),good);
    Parameter_Y=regress(bad(:,2),good);
    
    % 载入错切后图片与原图片,并显示
    picture=imread(Need_to_fix_picture_path);  % 错切图存放地址
    Shape=size(picture);
    target=imread(Origin_path);    % 原始图存放地址
    target_size=size(target);
    figure(1);
    subplot(1,3,1);
    imshow(picture);
    title('Need to fix');
    subplot(1,3,2);
    imshow(target);
    title('target');
    
    % 根据原图和错切图建立映射，修复错切问题
    Store_Matrix=ones(target_size(1),target_size(2),3)*255;
    for channel=1:3
        for x=1:target_size(1)
            for y=1:target_size(2)
                if floor([x,y,1]*Parameter_X)>=Shape(1)
                    continue;
                end
                if floor([x,y,1]*Parameter_Y)>=Shape(2)
                    continue;
                end
                Store_Matrix(x,y,channel)=picture(floor([x,y,1]*Parameter_X),floor([x,y,1]*Parameter_Y),channel);
            end
        end
    end
    
    % 显示修复后结果
    Store_Matrix=uint8(Store_Matrix);
    subplot(1,3,3);
    imshow(Store_Matrix);    
    title('fixed picture');
end

修正结果