Abstract: It is described that how to combine rough set with PCNN (Pulse Coupled Neural Network) to enhance the contrast of a noisy image to make the image clear so that the next image processing is easy. Meanwhile, the rough set and PCNN image enhancement algorithm is brought forward. The results of computer simulations show that noisy gray images can be enhanced efficiently by using this algorithm and image noise is reduced and image contrast is enhanced so that the image becomes clearer. In addition, the enhan cement effects of images based on this algorithm are better than those based on the other usual image enhancement algorithm.

Key words: rough set, PCNN, image enhancement

摘要： 研究了如何将粗集(Rough Set)与脉冲耦合神经网络(PCNN-Pulse Coupled Neural Network)相结合，对被噪声污染的图像进行对比度增强处理，使图像清晰，从而便于后续的处理。同时，提出了基于粗集与PCNN的图像增强算法。计算机仿真结果表明，使用基于粗集与PCNN的图像增强算法，可有效地对被噪声污染的图像进行图像增强，减少图像噪声，增加图像对比度，使图像更加清晰，且图像增强的结果优于常规的方法。

关键词: 粗集, PCNN, 图像增强