学术报告:Feature Extraction and Dimension Reduction of Color Images in Quaternion Domain

题目:Feature Extraction and Dimension Reduction of Color Images in Quaternion Domain

主讲人:周怡聪(澳门大学,副教授)

日期:2018年12月26日(星期三)

时间:上午10:00am - 11:30am

地点:数据科学与计算机学院 A101

主持:黄方军 教授

 

摘要:

A quaternion number is a number system that contains a real part and three imagery parts. Putting three color channels of a color image into three imagery parts, a color image pixel can be encoded as a pure quaternion number. The quaternion representationof a color image maintains the spatial correlations of color image pixels while encoding the cross-channel relationship of the color image.In this talk. I will focus on color image processing in quaternion domain. After a brief introduction of quaternion algebra, I will present several feature extraction and dimension reduction methods for color image classification and recognition.

 

个人介绍:

Dr. Yicong Zhou received his B.S. degree from Hunan University, Changsha, China, and his M.S. and Ph.D. degrees from Tufts University, Massachusetts, USA, all in electrical engineering. He is currently an Associate Professor and director of the Vision and Image Processing Laboratory in the Department of Computer and Information Science at University of Macau, Macau, China. His research interests include chaotic systems, multimedia security, pattern recognition, and machine learning. Dr. Zhou serves as an Associate Editor for Neurocomputing,Signal Processing, Signal Processing: Image Communication, and the Journal of Visual Communication and Image Representation. He is a leading co-chair of IEEE SMC Technical Committee on Cognitive Computing. Dr. Zhou is a senior member of IEEE and SPIE. He was a recipient of the third price of Macau Natural Science Award in 2014.