find boundaries of objects in binary image using morphological operations in matlab

To find the boundaries of objects in a binary image using morphological operations in MATLAB, you can use the combination of dilation and erosion operations.

Here is the step-by-step procedure:

1. Read the binary image using the imread function and convert it to a binary image if necessary. For example:

main.m
binaryImage = imread('binary_image.png');
binaryImage = imbinarize(binaryImage); % convert to binary if needed
111 chars
3 lines

2. Perform dilation operation on the binary image using the imdilate function to expand the boundaries of objects. Adjust the size and shape of the structuring element to control the extent of expansion. For example:

main.m
se = strel('disk', 5); % structuring element with disk shape and radius of 5 pixels
dilatedImage = imdilate(binaryImage, se);
126 chars
3 lines

3. Perform erosion operation on the dilated image using the imerode function to shrink the expanded boundaries back to the original object boundaries. Use the same structuring element as in the dilation step. For example:

main.m
erodedImage = imerode(dilatedImage, se);
41 chars
2 lines

4. Compute the boundary image by subtracting the eroded image from the original binary image, using the imsubtract function. This gives a binary image where the object boundaries are highlighted. For example:

main.m
boundaryImage = imsubtract(binaryImage, erodedImage);
54 chars
2 lines

5. Display and analyze the boundary image as needed. For example, you can use the imshow function to display the image:

main.m
imshow(boundaryImage);
23 chars
2 lines

Note that the choice of structuring element (size and shape) will affect the results, so you may need to experiment and adjust it based on your specific application.

Hope this helps!