Curvature detection from outlines of the binary image

8 次查看(过去 30 天)
This is my binary image. I used canny method to detect edge.
I want to identify these curvature(or spline), and plot them on the image.
(Left side and right side have different radius of curvatures.)
I searched several image processing techniques about this kind of problems, but I'm not sure where to start.
Any coment would be very helpful to me.
Thank you.

采纳的回答

Image Analyst
Image Analyst 2023-11-21
Try this:
% Demo by Image Analyst
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
clear; % Erase all existing variables. Or clearvars if you want.
workspace; % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 16;
markerSize = 20;
%--------------------------------------------------------------------------------------------------------
% READ IN TEST IMAGE
folder = pwd;
baseFileName = 'DW image.png';
fullFileName = fullfile(folder, baseFileName);
% Check if file exists.
if ~exist(fullFileName, 'file')
% The file doesn't exist -- didn't find it there in that folder.
% Check the entire search path (other folders) for the file by stripping off the folder.
fullFileNameOnSearchPath = baseFileName; % No path this time.
if ~exist(fullFileNameOnSearchPath, 'file')
% Still didn't find it. Alert user.
errorMessage = sprintf('Error: %s does not exist in the search path folders.', fullFileName);
uiwait(warndlg(errorMessage));
return;
end
end
grayImage = imread(fullFileName);
% Get size
[rows, columns, numberOfColorChannels] = size(grayImage)
rows = 761
columns = 922
numberOfColorChannels = 3
if numberOfColorChannels == 3
grayImage = rgb2gray(grayImage);
end
% Convert to binary
binaryImage = grayImage > 128;
%--------------------------------------------------------------------------------------------------------
% Display the image.
subplot(1, 2, 1);
imshow(binaryImage, []);
impixelinfo;
axis('on', 'image');
title('Original Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Maximize window.
g = gcf;
g.WindowState = 'maximized';
g.Name = 'Demo by Image Analyst';
g.NumberTitle = 'off';
drawnow;
%--------------------------------------------------------------------------------------------------------
% Scan the image column by column
topRows = nan(1, columns);
for col = 1 : columns
t = find(binaryImage(:, col), 1, 'first');
if ~isempty(t)
% Only look at rows below row 103 and above 300.
if t >= 103 && t <= 300
topRows(col) = t;
end
end
end
subplot(1, 2, 2);
plot(topRows, 'b-', 'LineWidth', 2);
grid on
axis ij
% Fit a quadratic to the left half
goodColumns = ~isnan(topRows);
x = find(goodColumns);
y = topRows(goodColumns);
hold on;
polynomialOrder = 4;
coefficients = polyfit(x, y, polynomialOrder)
coefficients = 1×5
3.48880567786257e-09 -6.96896072580378e-06 0.00582763348942092 -2.28797501728093 443.86351083415
xFit = min(x) : max(x);
yFit = polyval(coefficients, xFit);
plot(xFit, yFit, 'r-', 'LineWidth',2);
xlabel('Column', 'FontSize',fontSize);
ylabel('Row (Line)', 'FontSize',fontSize);
caption = sprintf('Polynomial of order %d fitted through top rows', polynomialOrder);
title(caption, 'FontSize',fontSize);
  1 个评论
DW
DW 2023-11-22
Thank you very much.
The codes were very clear and I think I can modify this for further applications I want.
It was really helpful.
Thank you again!

请先登录,再进行评论。

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 3-D Volumetric Image Processing 的更多信息

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by