Towards Skin Image Mosaicing

被引:0
|
作者
Faraz, Khuram [1 ,2 ]
Blondel, Walter [1 ,2 ]
Amouroux, Marine [1 ,2 ]
Daul, Christian [1 ,2 ]
机构
[1] Univ Lorraine, CRAN, UMR 7039, 2 Ave Foret Haye, F-54516 Vandoeuvre Les Nancy, France
[2] CNRS, CRAN, UMR 7039, F-54516 Vandoeuvre Les Nancy, France
来源
2016 SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA) | 2016年
关键词
Image mosaicing; Image registration; Optical flow; Teledermatology; Skin;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a framework for mosaicing high resolution skin video sequences in the context of teledermatology. While considering different stages of the mosaicing pipeline, including stitching and blending, several feature- and intensity-based image registration approaches are compared. Their performances in terms of quantitative and qualitative results are discussed so as to move towards the selection of the most suited approach. Although the intensity based approach proved to be more precise over short displacements, the feature based approach is advantageous in terms of computation time apart from being more reliable over large displacements, thus permitting a faster mosaic construction by skipping over some frames in the sequence.
引用
收藏
页数:6
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