Abstract: An adaptive segmentation system that utilizes a genetic algorithm in image segmentation. The system incorporates a closed-loop feedback mechanism in the segmentation/learning cycle. The system can adapt to changes appearing in the images being segmented, caused by variations of such factors as time and weather. Adaptation is achieved with a measure based on differences of analyzed past imagery and current imagery and on the criteria for segmentation quality. The invention is not dependent on any particular segmentation algorithm or specific sensor type.