Open AccessBackground reconstruction for camera-based thin-layer chromatography using the concave distribution feature of illumination
Author(s) -
Li Zhang
Publication year - 2006
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.14.010386
Subject(s) - optics , feature (linguistics) , convex hull , artificial intelligence , computer science , materials science , computer vision , regular polygon , mathematics , physics , geometry , philosophy , linguistics
This paper presents a method to reconstruct the nonuniform background for camera-based quantitative evaluation of thin-layer chromatography (TLC). After analyzing the concave distribution feature of illumination produced by a linear light source on a plane, the paper then makes use of the feature and convex hull algorithm to find points belonging to the background. After that, B-spline is employed to reconstruct the background. An experiment is also made to test the performance of the method, which shows that the correlation coefficient between the linear samples is 0.9949 after removing the estimated background.