 |
    |
Segmentation of Cells with Partial Occlusion and Part Configuration Constraint Using Evolutionary Computation
Masoud S. Nosrati and Ghassan Hamarneh
Medical Image Analysis Lab., Simon Fraser University, BC, Canadasmn6@sfu.ca
hamarneh@sfu.ca
Abstract. We propose a method for targeted segmentation that identifies and delineates only those spatially-recurring objects that conform to specific geometrical, topological and appearance priors. By adopting a “tribes”-based, global genetic algorithm, we show how we incorporate such priors into a faithful objective function unconcerned about its convexity. We evaluated our framework on a variety of histology and microscopy images to segment potentially overlapping cells with complex topology. Our experiments confirmed the generality, reproducibility and improved accuracy of our approach compared to competing methods.
LNCS 8149, p. 461 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2013