激光生物学报Issue(1)：38-40,76,4.DOI:10.3969/j.issn.1007-7146.2014.01.007
基于神经网络中的NNTool对小鼠皮肤的识别方法
Identification Method of Mice Skin Using the NNTool of Neural Network
摘要
Abstract
Studying the change and identification of skin texture after UVB light.Concretely,the texture characteristic of mice skin irradiated by the UVB light in different periods was extracted by spatial gray level co-occurrence matrix.Then, a new kind of skin texture recognition model was established.Training and recognizing the four main texture characters, including angular second moment,entropy,contrast,and correlation of skin in various statues were completed by using NNtool of neural network.The results indicated that this kind of texture analysis and identification is a feasible and effec-tive method.关键词
纹理分析/灰度共生矩阵/NNTool模式识别Key words
texture analysis/co-occurrence matrix/NNTool/pattern recognition分类
医药卫生引用本文复制引用
郑小小,王云夏,吴淑莲,李晖..基于神经网络中的NNTool对小鼠皮肤的识别方法[J].激光生物学报,2014,(1):38-40,76,4.基金项目
福建省科技重点项目（No．2011Y0019）；福建省自然科学基金项目 （）
