Based on an Improved Pre-PCA + LDA Classifier Design In Tumor Cells

摘要：

Through the integration of global and local classifiers can be better to image normal and abnormal (including cancer and hyperplasia) of the classification, But early cancer and hyperplasia in shape have only a very slight difference. Therefore, we also need the new features to design a new classifier to realize the classification of cancer and hyperplasia. In this paper, we use the improved PCA + LDA dimension reduction method to overcome the traditional PCA + LDA method, using which the test samples have poor generalization ability . at the same time ,We have done a related experiment to achieve the cancerous cells and proliferation of cells in the classification problem, compared With the traditional PCA + LDA classification methods ,we found the improved PCA + LDA to achieve a better recognition effect.

关键词： Global and local classifiers PCA + LDA classification Generalization

作者: Chunping Tu Lan Gan Zhongping Yu

作者单位: School of Information Engineering East China Jiaotong University Nanchang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 95-98

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）