Indexed by:期刊论文
Date of Publication:2017-02-01
Journal:JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS
Included Journals:SCIE、Scopus
Volume:7
Issue:1
Page Number:247-250
ISSN No.:2156-7018
Key Words:Visible Human; Matting; Closed-Form Solution; Distance Transform
Abstract:In this paper, a new solution to hyper scale serialized visible human slices is proposed. A closed -form solution and distance transform strategy are synthetically utilized to solve the problem of low -quality image and non applicability in the ROI matting and seed point extraction procedure. Closed -form solution calculates a globally optimal result of foreground opacity. It bases on an assumption of a smooth relation between foreground and background colors. To meet the need of full automatic segmentation, a new seed point extraction method based on distance transform is proposed. The segmented image is transformed to be a distance matrix. Some stable points in this matrix are chosen as seed points. This solution is fine and smooth but with less user input. The sequential segmented ROI images are satisfactory and have many application prospects.
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Gender:Male
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:软件学院、国际信息与软件学院
Discipline:Software Engineering. Computer Applied Technology
Business Address:大连市经济技术开发区图强街321号大连理工大学开发区校区信息楼
Contact Information:laohubinbin@163.com
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