Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform

被引：4
|
作者：
Moreira, Bruno [1 ,2 ]
Sousa, Antonio [1 ,3 ]
Mendonca, Ana Maria [1 ,2 ]
Campilho, Aurelio [1 ,2 ]
机构：
[1] Univ Porto, INEB Inst Engn Biomed, P-4200465 Oporto, Portugal
[2] Univ Porto FEUP, Fac Engn, P-4200465 Oporto, Portugal
[3] Inst Politecn Porto, ISEP, P-4200072 Oporto, Portugal
来源：
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE | 2013年 / 2013卷
关键词：
FABRY-DISEASE; GEL; SOFTWARE; TRACKING;
D O I：
10.1155/2013/218415
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This paper describes a new methodology for lane detection in Thin-Layer Chromatography images. An approach based on the continuous wavelet transform is used to enhance the relevant lane information contained in the intensity profile obtained from image data projection. Lane detection proceeds in three phases: the first obtains a set of candidate lanes, which are validated or removed in the second phase; in the third phase, lane limits are calculated, and subtle lanes are recovered. The superior performance of the new solution was confirmed by a comparison with three other methodologies previously described in the literature.
引用
收藏
页数：19
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