Competitive Segmentation: A Struggle for Image Space

In this paper, we propose a competitive image segmentation algorithm. It is a dynamic evolving optimization method, which we call the population algorithm. The method is inspired from nature, where the image segments are a population of entities that struggle for the limited image space and settle territory expansion con icts locally without central authority. Hence, it is a region-based segmentation approach that locally considers region boundary adjustments in a dynamic way. Experiments con rm that this metaphor indeed applies when the image segmentation problem is modeled accordingly.

• Type: Conference
• Year: 2000
• Where: PPSN
• Authors: Cor J. Veenman, Marcel J. T. Reinders, Eric Backer
• Keywords: Distributed And Parallel Computing, Image Segmentation, Image Segmentation Algorithm, Image Segmentation Problem, PPSN 2000