What are the steps of image segmentation with mathematical morphology of MATLAB? Should the corrosion expand first, or should we use edge detection first or something?

% RGB = imread(' source 1 . BMP ')；

% I = RGB 2 gray(RGB)； % color converted to grayscale

I = imread(' source 3 . BMP ')；

level = gray thresh(I)； % get the right threshold, get the right threshold.

bw= im2bw(I，level)； % binarization

SE= strel('square '，3)； % Set Extended Structure Element

bw 1 = im dilat(bw，SE)； Expansion percentage

SE 1= strel ('any', eye (5)); % set corrosion structural elements

BW2= imerode(bw，se 1)； % corrosion

BW3= bwmorph(bw,' open'); Percentage of operation

BW4= bwmorph(bw，' close ')； % close operation

Figure (1),

Subplots (2, 3, 1), im show (i); Title ("original");

Subplots (2, 3, 2), IM Show (BW); Title ("Binary Diagram");

Subplots (2, 3, 3), im show (bw1); Title ("Inflation");

Subplots (2, 3, 4), IM SHOW (BW2); Title ("Corrosion");

Subplots (2, 3, 5), IM Show (BW3); Title ("Open operation");

Subplots (2, 3, 6), IM SHOW (BW4); Title ("Close Operation");

Figure (2)

BW5 = imfill(bw,' hole');

Subplot (12 1), im show (bw), title ("source image binarization")

Subplot (122), Instant Message Display (bw5), Title ("Filled Image")

% contour extraction

Figure (3)

contour = bwperim(bw)；

Imshow (contour line);

Title ("Outline")