A Measurement Image Preprocessing Method Based on LVQ Neural Network
基于LVQ神经网络的测量图像预处理方法

With the improvement of the resolution and grey bit of CCDs,the mass of the measured image data will be increased and the data processing speed should be affected.If a common dimension reduction method is used,some details of the target in an image will be lost easily.In this paper,a new intelligent dimension reduction method based on LVQ nueral network and fuzzy c-means clustering technology is proposed.First,the target and background in the measured image are clustered respectively in different clusters;then,the nueral network is trained to reduce the dimension of the image evenly. The experimental result shows that this method can greatly reduce the quantity of the image data to be processed without any influence on the target information.