MATLAB: I want to smooth the boarder of all white areas in this Binary Image (even the tiny ones). Consider it like smoothing with your hand.

image processingImage Processing Toolbox

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In addition of the above links provided by @Walter morphological operations, imdilate and imclose, you may try with the following code also (@Image Analyst related answer, I cant find the link right now).

*Here image_binary is the input binary image, please note you have to manage the tradeoff between original shape changes vs. smoothness.

windowSize=12;  % Decide as per your requirements
kernel=ones(windowSize)/windowSize^2;
result=conv2(single(image_binary),kernel,'same');
result=result>0.5;
image_binary(~result)=0; 
figure, imshow(image_binary);

Hope it helps!

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MATLAB: I am converting a grayscale signature image to thin image but not getting the desired output

It looks like you need to clean up the binary image a little before thinning.

This worked for me:

bw = im2bw(img,graythresh(img));
% remove some of the noisy edges in the mask.
bw_clean = imopen(bw, strel('disk',1));
% remove small foreground objects.
bw_clean = bwareaopen(bw_clean, 25);
% invert the image and thin it.
bw_thin = bwmorph(imcomplement(bw_clean), 'thin', Inf);

MATLAB: When working with an image and filling in gaps, do you only choose one: imerode, imdilate, imopen, imclsoe and imfill

Assuming your foreground blobs are white/true/1, imerode and imopen will enlarge the black areas and eat away at the white areas. imdilate and imclose will enlarge/smooth the white areas and fill in black areas near borders/perimeters. imfill() fills in black islands in a white blob. Usually you use only one: imfill. However if you want your blobs to have a bit smoother outline, then you can use imclose() before imfill().

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Related Solutions

MATLAB: I am converting a grayscale signature image to thin image but not getting the desired output

MATLAB: When working with an image and filling in gaps, do you only choose one: imerode, imdilate, imopen, imclsoe and imfill

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