Curve Extraction Using Genetic Algorithm Based on Closeness and Continuity in Perceptive Grouping Factors
نویسنده
چکیده
A method to extract a visual continuous curve using a genetic algorithm is proposed in an image including a discontinuous curve and noisy points. The fitness of an individual in the population is defined by the global shape of a curve that is formed by connecting all points extracted by the individual based on proximity and continuity of points in perceptive grouping factors. A final shape of a curve that is formed by connecting points included in the individual with the maximum fitness is extracted after evolution of a genetic algorithm. Experimental results show that the proposed method extracted visual perceptive curves in noisy images.
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