Strong edges are considered to be high frequency content. But, weak edges come under low frequency content and got removed while performing edge detection. How can I make weak edges stronger?
I have used anisotropic diffusion for making edges more clear.
another option is the Sobel filter
https://en.wikipedia.org/wiki/Sobel_operator
Another option is clustering of color, either global
or local. E.g. 2 clusters. It would be helpful if
an example image could be shared here, if no ethics
commission is necessary.
Regards,
Joachim
From my experience in the remote sensing field (satellite, airborne, and shipborne imaging of the earth surface) high frequencies generally means a change in dn levels over a few to several pixels; low frequencies are change over a large number of pixels (i.e., broad patterns in the image). To me strong and weak edges seems to indicate high vs low contrast with the surrounding pixels, but still high frequencies because the change is over a few to several pixels. I have a few publications under my RG profile related to edge enhancement, including using statistical information to automatically select the approximate kernel (window) size of the spatial filter to enhance edges within a given image.
Pat
- Badges
- Science topic
- Similar topics
- Computer Science and Engineering
- Human-Computer Interaction