ON IMAGE SEGMENTATION USING A COMBINATION OF FELZENSZWALB, SLIC AND WATERSHED METHODS
Alin-Florin MIHĂILĂ, Patricia-Steliana PENARIU, Giorgiana Violeta Vlăsceanu, Marcel Prodan · Zenodo (CERN European Organization for Nuclear Research) · 2020
Image segmentation is an essential problem in Computer Vision and it is foundational to the development of next-generation information extraction methods, issued in problems of great interest, such as driving autonomous machines, text analysis, object identification, extracting information from images. Knowing that there are no perfect algorithms for image segmentation, this paper aims to achieve a method that combines the results of different algorithms through various voting schemes in the hope of getting better results.