A Multi–Agent System for Image Segmentation A Bio-Inspired Approach
Safia Djemame, Mabrouk Nekkache, Mohamed Batouche · Electronic workshops in computing · 2009
We explore the artificial life domain which opens new horizons to find bio-inspired solutions to image processing problems. Besides the ants which were successfully used, we investigate a new approach based on the interaction of social spiders, where we adapt the collective web weaving to an image segmentation on regions. Spiders were successfully used to extract regions on grey level images. We resume this method and try to adapt it for an image segmentation. The spiders which are considered as simple, autonomous agents, in limited perception, communicate by stigmergy of the silk that they weave, and so build several webs comparable to regions on an image.