显微图象分析系统的设计及实现

Design and Realization of Microscopic Image Analysis System

以显微图象分析为应用背景，设计并实现了基于改进的纹理谱方法提取图象纹理特征和以神经网络作为分类器的图象纹理分类系统．分析了纹理分析方案的实施所遇到的实际问题和纹理图象分类的抗干扰性能，给出了具体实验结果．

The texture image classification system is designed and realized based on texture spectrum and neural networks for applications in micro image analysis.Some issues in the implementation of the practical system are discussed and analyzed in detail and some results are given at last.