Texture Image Recognition Based on Bispectrum Slice and BP Neural Network Ensembles

摘要：

To obtain the spatial relationship between three or more pixels in the texture image, bispectrum is choosen to extract texture features of the image, and it contains amplitude information and phase information of the image. Due to some problems in neural network, such as unstable classifier design, configuration, training, the research based on the ensemble of neural networks appears. Compared with a single neural network, an ensemble of neural networks has better fault tolerance and generalisation ability. In this paper, bispectrum is used to extract texture features and the neural network ensembles are used to recognize the texture images. The experimental results demonstrate that the ensemble of BP neural networks can effectively improve correct recognition rate of texture images.

关键词： Bispectrum texture recognition diagonal slice neural network ensembles

作者: Zhengjian Ding Yasheng Yu

作者单位: school of computer and communication, lanzhou university of technology, Lanzhou,China school of computer and communication, lanzhou university of technology,Lanzhou, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 393-395

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）