基于模糊遗传算法的内窥镜图像的恢复

Regnenration of gray level image of endoscope based on fuzzy hereditary algorithm

针对内窥镜图像恢复的需求,结合模糊先验辩识算法和遗传寻优的思想给出了一种基于模糊遗传算法的图像恢复算法.该方法采用模糊特征矩阵表示图像,再通过模糊遗传寻优以获得最佳的图像恢复,从而为含有严重噪声、模糊性和不确定性的内窥镜图像恢复提供了一种新的途径,实验结果表明,该方法比其他恢复算法具有更好的效果.

In light of the need to resume the endoscope image, a new algorithm is put forward, which combines the fuzzy experience-oriented identification algorithm and the idea of hereditary optimization. The method employs the fuzzy characteristic matrix to express image and the concept of hereditary optimization to resume the best effect of image. Thus, a new way is obtained to resume the endoscope image by eleminating serious noiese, obscruity and uncertainties. The experiment shows that it works better than other resuming algorithm.