Hi, I have written the following matlab code to do the following:-. load rgb image of surface. contrast stretch. convert rgb to gray scale.
image segmentation. morphological operations (thin, clean, fill, etc.). imtool for pixel length determination. Calculation of crack length based on calibration of image and above determined pixel lenght. My aim is to develop the SIMPLEST matlab code for automatic detection of cracks and estimate the length of the crack (if possible other geometrical properties) from a sample image.
Thanks for your blob demo, helped alot! In line with your example I have started to tweak my code as below and would like to ask the following questions before. I) Is the bwlabel function labelling ALL 4-5 cracks in the image under one label? If yes how do I make sure it labels each crack separately? Ii) the area returned from regionprop function is it for ALL 4-5 cracks in image? If yes how do get the area for each crack separately? Iii) the bwboundaries function returns 34 boundaries how do plot these boundaries such that the edges of each crack is highlighted.
![Matlab Matlab](/uploads/1/2/4/0/124021758/682204422.jpg)
![Crack Detection Matlab Code For Image Crack Detection Matlab Code For Image](/uploads/1/2/4/0/124021758/648776360.png)
Iv) finally based on all these can you clarify me on how to determine the length of each crack (4-5 as shown in the sample image)? It was not clear from your example.%% load image I=imread('two.jpg'); Igray = rgb2gray(I); figure,imshow(Igray) title('Gray image')%% Binarize level = graythresh(Igray); binaryImage = im2bw(Igray, level); figure,imshow(binaryImage) title('Binarized image')%% Labeling & regionprop labeledImage = bwlabel(binaryImage); measurements = regionprops(labeledImage, 'Area');%% Boundaries boundaries = bwboundaries(binaryImage); numberOfBoundaries = size(boundaries, 1).
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Crack Detection Matlab Code For Image Boundary
I have managed to label and plot out each crack and also get its boundaries and area.
Crack Detection Matlab Code For Image Edge
![Crack detection matlab code for image processing Crack detection matlab code for image processing](/uploads/1/2/4/0/124021758/384676060.jpg)
Don't know if it will work. But you could try something like below. Convert the image to gray image. Convert the gray image using hard thresholding.
(You can try otsu's thresholding too). Now the result(let's call it BW1) will have your cracked area and also the black shadows of the projecting portions of the backplate. See that the shadows are actually blured in the gray image. (or use some method to find the sudden changes in the gray image,cracks have sudden changes). Some how estimate the blurness (or image sharpness). Then hard threshold the estimate value to produce another binary image(let's call it BW2). Now multiply or you could say and the BW1 and BW2 to get the required output.