NIB2DPCA-based Feature Extraction Method for Color Image Recognition

摘要：

　　A novel method for color image feature extraction is proposed.First of all,non-iterative bilateral projection based 2DPCA algorithm(NIB2DPCA)is employed to extracted feature information from three channels of a given color image respectively.Then the three extracted feature matrices are reconstructed to form a two-dimension middle matrix.After that,NIB2DPCA is employed again to extract features from the middle matrix to obtain the final features.Experimental results on CVL and FEI databases show that,contrast to existing similar methods,the recognition accuracy of our method increased by 7-16 percent.

关键词： component color image recognition eature extraction Non-iteration bilateral projection based 2DPCA(NIB2DPCA) principal component analysis (PCA)

作者: Zongyue Feng Jiagang Zhu

作者单位: School of IoT Engineering Jiangnan University Wuxi,China

会议类型: 国际会议

会议名称: The 14th International Symposium on Distributed Computing and Applications to Business,Engineering and Science(DCABES 2015)(第十四届分布式计算及其应用国际学术研讨会)

会议地点: 贵阳

会议语种:英文

页码: 308-311

在线出版日期: 2015-08-18（万方平台首次上网日期，不代表论文的发表时间）