Mathematical Analysis of Intensity Based Segmentation Algorithms with Implementations on Finger Images in an Uncontrolled Environment
Lisa Svens · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2019
The main task of this thesis is to perform image segmentation on images of fingers to partition the image into two parts, one with the fingers and one with all that is not fingers. First, we present the theory behind several well-used image segmentation methods, such as SNIC superpixels, the k-means algorithm, and the normalised cut algorithm. These have then been implemented and tested on images of fingers and the results are shown. The implementations are unfortunately not stable and give segmentations of varying results.