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how can I fill these bw images to generate a mask?

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Hi folks,
I am trying to threshold an image using edge detection. So far, I have the following 2 images which demonstrate the effectiveness of each of the edge detection techniques used. I am trying to turn the result into a mask by filling inside the perimeter, with no success!
My initial approach was to turn each black pixel to true starting from the bottom of each image until it reached a white pixel for each column, but I'm unsure of how to do this.
My code is below:
i = 1;
myParams = {'Sobel','Prewitt','Roberts','log','zerocross','Canny','approxcanny'};
x = imadjust(im2gray(imread([path, num2str(i), '.png'])));
for i = 1 : 7
bw{i} = myMask(x, myParams{i});
subplot(4, 3, 2);imshow(x);title('Original Greyscale Image');
for i = 1:7
if i == 7
subplot(4, 3, i+4);imshow(bw{i});title(myParams{i});
subplot(4, 3, i+3);imshow(bw{i});title(myParams{i});
function bw = myMask(bw, param)
bw = im2bw(bw);
bw = edge(bw, param, "nothinning");
bw = bwareaopen(bw, 3);
bw = imclose(bw, strel("disk", 10));
bw = imfill(bw, 'holes');
bw = bwperim(bw);
bw = imdilate(bw, ones(12));
bw = imerode(bw, ones(10));
bw = imfill(~bw, 'holes');
bw = ~bw;

Accepted Answer

Image Analyst
Image Analyst on 22 Aug 2022
It's totally unnecessary to do edge detection. Not sure why beginners always want to do edge detection just because they can see an edge. What you want to do is to simply threshold and scan to find the first zero pixel. For each gray scale image, just call imbinarize and don't do any edge stuff:
bw = imbinarize(grayImage);
[rows, columns, numberOfColorChannels] = size(bw);
bottomRows = nan(1, columns);
% Scan across
for col = 1 : columns
for row = rows : -1 : 1
if ~bw(row, col) % If it's false/black/zero
bottomRows(col) = row;
There are several other ways to do this if you don't want a nested for loop.

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