Image processing for pattern restoration

Question

Daeyeon Koh 2024-5-27

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/2122936-image-processing-for-pattern-restoration

回答： Matlab Pro 2024-5-27

Hi.

I am working on restoring unclearly printed rectangular patterns using MATLAB. All original patterns are exact rectangular, and I am taking photos for collecting original printed images by a camera. The attached images show the original image used (first), the filled image extracted through the written code (second), and the desired final image (third). My goal is to achieve an image like the third one. The edges do not need to be perfectly rectangular; a rough restoration is sufficient. Any clue would be helpful to me. Thank you.

clc; clear;
imFile="image1.jpg";
Image_Original=imread(imFile);
Image_Gray=rgb2gray(Image_Original);
Image_Inversed = imcomplement(Image_Gray);
Image_BW = imbinarize(Image_Inversed);
Image_BW_filled = imfill(Image_BW,"holes");
edges = edge(Image_BW_filled, 'Canny');
imshow(Image_BW_filled)

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Matlab Pro 2024-5-27

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/2122936-image-processing-for-pattern-restoration#answer_1463811

在 MATLAB Online 中打开

Hi

Finiding the 4 corners of the rectangle - is very easy (looking for minimum/maximum non zero index on each dimention)

Here is a small example:

W = 20; H = 120;
Image_BW_filled = zeros(W*3,H*1.2);
Image_BW_filled(W*1:W*2-1,20:H+20-1) = rand(W,H)> 0.1;
hFig = figure;
ax = axes('Parent',hFig);
imshow(Image_BW_filled,'Parent',ax)
x1 = find(sum(Image_BW_filled)>0,1, 'first');
x2 = find(sum(Image_BW_filled)>0,1, 'last');
y1 = find(sum(Image_BW_filled,2)>0,1, 'first');
y2 = find(sum(Image_BW_filled,2)>0,1, 'last');
corners = [...
    x1,y1; ...
    x1,y2; ...
    x2,y1; ...
    x2,y2];
hold(ax,'on');
hLine = line('XData',corners(:,1),'YData',corners(:,2),'Parent',ax,'Marker','o','MarkerFaceColor','r','LineStyle','none');