摘要
介绍了应用于灰度图像的联想记忆和识别的动态核方法,给出了动态核选择的原则和途径。利用动态核可以解决灰度图像在含有随机噪声时的自联想记忆和识别问题,从而给出了一种较好地处理含噪灰度图像恢复的途径。通过实验,验证了该方法的良好性能,取得了较理想的结果。
A method of dynamic kernel used to association and recognition of gray-scale images is presented. The principle and approach to choose the dynamic kernel is given. With the method, the auto-association and recognition of gray-scale images with random noise can be realized. Accordingly, a better approach to deal with the comeback of gray-scale images with noise is offered. Our experimental results here demonstrate the effectiveness of the dynamic kernel approach.
出处
《微计算机信息》
北大核心
2005年第12Z期176-178,共3页
Control & Automation
基金
江苏省自然科学基金资助项目(BK2003017)
关键词
灰度图像
形态学神经网络
联想记忆
动态核
随机噪声
Gray-scale image
Morphological neural networks
Associative memory
Kernel dynamic kernel
