改进的PCNN与Otsu的图像增强方法研究

Enhancement of Image Based on Otsu and Modified PCNN

提出了基于改进脉冲耦合神经网络(PCNN)与Otsu的图像模糊增强方法,该方法即可有效地去除噪声,又能根据图像灰度性质自动选取最佳阈值,并采用模糊集理论实现了图像的增强。计算机仿真表明,该方法可得到优于传统方法去噪和增强效果,从而验证了该方法的有效性、合理性。

The arithmetic of automatic image enhancement based on PCNN, Otsu and Fuzzy sets was proposed. The arithmetic can not only remove noises effectively, but also automatically select the best threshold based on the image gray characteristic. In additional, fuzzy enhancement of image is realized by using fuzzy algorithm. Consequently, the remarkable effect of image enhancement is gained.