MATLAB: How to choose the boundaries of the gray zone in the image

image analysisimage processing

I have an image and I would like to write a program in order to separate the gray part of the image which is a footprint of a tire. I think the algorithm should be similar to fingerprint detection, however, I don't have sufficient knowledge to do so. Can anyone suggest me a solution?

Best Answer

By combining imclose, imopen, and bwconvhull functions, you can determine the target area. Here is an example.

% Read the image and binarize
I = imread('Footprint.jpg');
I = rgb2gray(I);
BW = imbinarize(I);
% Remove noise
se = strel('disk',5);
BW = imclose(BW, se);
BW = imopen(BW, se);
% Remove areas connected to image border
BW = imclearborder(BW,4);
% Generate convex hull image
ROI = bwconvhull(BW);
% Show the result
imshowpair(I,ROI)

Related Solutions

MATLAB: How can i separate all the connected regions in a binary image and display them individually.

Use bwlabel() and ismember

[labeledImage, numRegions] = bwlabel(binaryImage);
props = regionprops(labeledImage, 'Area')
% Compute all the areas.
allAreas = [props.Area]
% Display each blob in its own figure.
for k = 1 : numRegions
    thisRegion = ismember(labeledImage, k);
    figure;
    imshow(thisRegion);
    drawnow;
end

MATLAB: How can i remove the noises (white pixels) in the image

One typical and simple way to do this is to use imopen function. Here is an example.

% Reading your image
I = imread('123.JPG');
I = rgb2gray(I);
BW = imbinarize(I);
% Apply imopen function
se = strel('disk',3);
BW2 = imopen(BW, se);
% Show the result
imshowpair(BW,BW2,'montage')

Best Answer

Related Solutions

MATLAB: How can i separate all the connected regions in a binary image and display them individually.

MATLAB: How can i remove the noises (white pixels) in the image

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