How to detect and show the crack in this image and eliminate the rest of the objects (noises)?
I have tried used the morphological structuring element (STREL-line),but there is one problem with my images, the line crack is fixed not only in horizontal and vertical line , it has its degree(0-360), which is this strel-line can’t be used. I used strel-line in order to maintain the line cracks and remove any shapes in the images which is I can’t solve that. I got an idea how to differentiate between the lines and the noises, low gray-level value and high gradient, however this seems not work to this image since the value of gray scale and gradient almost similar to the noises.Can you show me the right way? Attached is the image.I have tried used the morphological structuring element (STREL-line),but there is one problem with my images, the line crack is fixed not only in horizontal and vertical line , it has its degree(0-360), which is this strel-line can’t be used. I used strel-line in order to maintain the line cracks and remove any shapes in the images which is I can’t solve that. I got an idea how to differentiate between the lines and the noises, low gray-level value and high gradient, however this seems not work to this image since the value of gray scale and gradient almost similar to the noises.Can you show me the right way? Attached is the image. I have tried used the morphological structuring element (STREL-line),but there is one problem with my images, the line crack is fixed not only in horizontal and vertical line , it has its degree(0-360), which is this strel-line can’t be used. I used strel-line in order to maintain the line cracks and remove any shapes in the images which is I can’t solve that. I got an idea how to differentiate between the lines and the noises, low gray-level value and high gradient, however this seems not work to this image since the value of gray scale and gradient almost similar to the noises.Can you show me the right way? Attached is the image. image processing, crack detection MATLAB Answers — New Questions