How do I detect cracks on material

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asdfg
asdfg 2012-12-12
编辑： Preetham Manjunatha 2025-5-16
Hello, I wish you would help me. I work with algorithm to detect cracks or damages on material. I have a lot of images with and without damage (cracks), so do you have any ideas how do I detect a cracks on it? I tried to use that http://mablresearch.rit.edu/wiki/index.php/Object_detection_and_location_with_MATLAB but didn't get any good results. P.S. Link to images http://postimage.org/gallery/fdnefu2/ P.P.S. I know, that images are exposed, but It's all i have. Thanks in advance. P.P.P.S.Sorry for my language, I'm not native speaker, but I try to do my best.

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回答（2 个）

Image Analyst
Image Analyst 2012-12-12
We don't really help much with algorithms, especially ones that may be fairly complicated. If you need MATLAB help, we can help with that.
But basically I'd try something simple first, like calling adapthisteq() to do a background correction on your images, then call imcrop() to get just the region of interest, then threshold and call regionprops() to make the measurements. Of course it could get a lot more complicated than that. Check out my File Exchange for image segmentation tutorials. http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862
Preetham Manjunatha
编辑：Preetham Manjunatha 2025-5-16
Here is the MATLAB Crack segmentation and Crack width, length and area estimation codes to calculate/estimate the crack area, width and length. In addition, this package assumes the crack is segmented either using morphological method or multiscale gradient-based or deep learning semantic segmentation methods. This package estimates the crack area, width and length (pixel scale can be provided to estimate these physical quantities). Lastly, the semantic segmentation and object detection metrics for the cracks can be found using Cracks binary class bounding box and segmentation metrics package.

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