Archive for the ‘Fuzzy C-Means’ tag
Fuzzy c-means for greylevel image segmentation
Here’s a script I threw together to do grey-level segmentation using fuzzy c-means. This appeared as a small part of a project in the image processing course I took. The algorithm deployed was really a proof of concept meant to replicate and verify the results of another author — as such, I don’t recommend ever using fuzzy c-means for this task as it’s pretty inefficient. This software will handle any number of grey-level-segments you desire, but I recommend eight as a maximum.
The code and course project paper are originally dated April 20th, 2011.
>>> Download: FCMProjectPaper.pdf | FCMProject.tgz <<<
( Requires pypng — Python PNG encoder/decoder )
Here are the examples included in the above archive. I like pictures.
Sunny in 8-bit greyscale, 3-bit greyscale, 2-bit greyscale.
Auryo in 8-bit greyscale, 3-bit greyscale, 2-bit greyscale.
Enjoy 😀