Detect Edges having length greater than 50km
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Nadia jabeen
el 19 de Oct. de 2020
Comentada: Nadia jabeen
el 20 de Oct. de 2020
Hi all,
I have detected edges using Canny Edge detector. But I want to detect Edges having length greater than 50km. I have attached code. Can anyone help me to edit code to detect edges of given length?
X = cell2mat(struct2cell(load('F:\study\practise\New folder\2010\script\preprocessed2010.mat', 'Alpha')));
for k=1:length(X)
b=X(k).img;
b(b==0)=NaN;
b (b > -5) = NaN;
b (b < -32) = NaN;
figure, temp1 = imagesc(b);title('Original Image') ;colormap('gray'); colorbar;
baseFileName = sprintf('%d.jpg',k);
% % % Specify some particular, specific folder:
fullFileName = fullfile('E:\practise\images', baseFileName);
figure(gcf); % Activate the figure again.
export_fig(fullFileName);
% Get edges
A = edge(b, 'canny');
figure, temp1 = imagesc(A);title('Edge Detected Image') ;colormap('gray'); colorbar;
baseFileName = sprintf('%dCanny.jpg',k);
fullFileName = fullfile('E:\practise\images', baseFileName);
figure(gcf); % Activate the figure again.
export_fig(fullFileName);
%
end
0 comentarios
Respuesta aceptada
Image Analyst
el 19 de Oct. de 2020
You forgot to attach preprocessed2010.mat.
After you get the binary image, A, you can call bwareaopen() to extract only those blobs with area more than however many pixels 50 km is;
fiftyKm = round(50 * pixelsPerKm);
A50 = bwareaopen(A, fiftyKm);
2 comentarios
Más respuestas (0)
Ver también
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!