关键词: 图像分割, 模糊Renyi熵, 量子遗传算法, 最大熵原则

Abstract: Digital image are by nature fuzzy，while traditional threshold method doesn’t reflect this fact.In order to retain the fuzziness of image，a new image threshold method based on fuzzy entropy is presented.Transforming the histogram of image into fuzzy domain by fuzzy membership function，the entropy of objects and background is calculated according to the definition of fuzzy Renyi Entropy.Following the maximum entropy principle，Quantum Genetic Algorithm（QGA） is employed to accelerate the search of the optimal parameters of membership function，and thus the best threshold of image is obtained by the combination of these parameters.The experimental results indicate that the proposed method obtains good performance，and satisfies the requirement of real-time.

Key words: image segmentation, fuzzy Renyi entropy, quantum genetic algorithm, maximum entropy principle