Titlebook: Genetic Learning for Adaptive Image Segmentation; Bir Bhanu,Sungkee Lee Book 1994 Springer Science+Business Media New York 1994 Navigation

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Baseline Adaptive Image Segmentation Using a Genetic Algorithm,to allow the genetic algorithm to modify a set of control parameters that affect the output of an existing computer vision program. By monitoring the quality of the resulting program output, the genetic algorithm can dynamically change the parameters to achieve the best performance. A second approac

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Evaluating the Effectiveness of the BaselineTechnique -Further Experiments,aditional approach commonly used in the Computer Vision field. In this chapter, we carry out further experiments to evaluate the effectiveness of the baseline adaptive image segmentation technique. In particular, we perform experiments, (a) to compare the baseline adaptive image segmentation system

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Summary,book provides a learning capability at the low level of the computer vision hierarchy. It is the . image segmentation system to incorporate automated adaptation in a closed loop feedback system where the learning from experience is used to improve the performance. The feedback loop in the adaptive i