摘要
以显微图像分析为应用背景 ,设计并实现了基于改进的纹理谱方法提取特征和以神经网络作为分类器的纹理图像分类系统。分析了纹理分析方案的实施所遇到的实际问题和纹理图像分类的抗干扰性能 ,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 microimage analysis. Some issues in the implementation of the practical system and the anti-interference ability of texture classification are discussed and analyzed in detail. Some results and examples are given at last.
出处
《计算机应用》
CSCD
2000年第9期39-41,共3页
journal of Computer Applications
