Title :
A New Segmentation Algorithm for the Visible Human Data
Author :
Zhao, Yan ; Tao, Chenjun ; Tian, Xiaolin ; Tang, Zesheng
Author_Institution :
Fac. of Information Technol., Macau Univ. of Sci. & Technol.
Abstract :
A new segmentation algorithm based on image algebraic operations for background removal of the Visible Human Data (VHD) has been proposed in the paper. The new algorithm has been implemented and tested. Both algorithm analysis and testing results have showed that the new algorithm could have better segmentation results on the VHD, with less algorithmic complexity and less computational complexity, compared with other known algorithms of background removal for the VHD
Keywords :
biomedical optical imaging; image segmentation; medical image processing; Visible Human Data; algorithm analysis; algorithmic complexity; background removal; computational complexity; image algebraic operations; segmentation algorithm; Biomedical engineering; Humans;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616755