A CT IMAGE SEGMENTATION METHOD BASED ON WAVELET AND SOM NEURAL NETWORK

In this paper, a developed segmentation method based on the wavelet transform and SOM neural network technique is proposed. This paper implements multi-resolution wavelet transform for feature extraction using the DB4 mother wavelet. The image features are extracted using statistic parameters from the multi-resolution framework. In segmentation, a SOM neural network is employed for the clustering process. Compared with other classical segmentation method, our method has the advantages of taking short segmentation time, and can be easily extended to other medicine image.