Ping Xu

Work place: College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University Hangzhou, Zhejiang, China



Research Interests: Computer systems and computational processes, Image Compression, Image Manipulation, Image Processing


Ping Xu was born in 1978. He received the Ph.D degree in control theory and control engineering from Zhejiang University, Hangzhou, China, in 2006. He has been an Associate professor of College of Life Information Science & Instrument Engineering of Hangzhou Dianzi University since 2008. His current research interest include image compression, compressive sensing, and biomedical image processing. 

Author Articles
A New Diagnosis Loseless Compression Method for Digital Mammography Based on Multiple Arbitrary Shape ROIs Coding Framework

By Ping Xu Yan Zuo Wei-Dong Xu Hua-Jie Chen

DOI:, Pub. Date: 8 Oct. 2011

With the rapidly growing use of digital images in medical archival and communication, image compression technology, especially diagnosis lossless compression technology, plays a more and more important role for medical applications. In this thesis, a novel diagnosis loseless compression algorithm is presented for digital mammography. The mammogram is divided into breast region, pectoral muscle and background using the CAD technology. Then mutiple arbitrary shape ROIs coding framework is used to compress the mammogram in which the breast region and pectoral muscle are compressed losslessly and lossily respectively, and the background can be discarded or compressed lossily as user’s will. Experimental results show that the proposed method offer potential advantage in medical applications of digital mammography compression.

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