Automatic lane and band detection in images of thin layer chromatography

• Type: Article in International Scientific Journal
• Date: 2004

Authors

António V. Sousa (Author) Other; Rui Aguiar (Author) Other; Ana Maria Mendonça (Author) FEUP; Aurélio Campilho (Author) FEUP

Journal

The Journal is awaiting validation by the Administrative Services.

Title: IMAGE ANALYSIS AND RECOGNITION, PT 2, PROCEEDINGS

Vol. 3212

Pages: 158-165

Indexing

ISI Web of Knowledge - 11 Citations

Scopus - 14 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-000-CXK

DOI: 10.1007/978-3-540-30126-4_20

Abstract (EN): This work aims at developing an automatic method for the analysis of TLC images for measuring a set of features that can be used for the characterization of the distinctive patterns that result from the separation of oligosaccharides contained in human urine. This paper describes the methods developed for the automatic detection of the lanes contained in TLC images, and for the automatic separation of bands for each detected lane. The extraction of quantitative information related with each band was accomplished with two methods: the EM expectation-maximization and nonlinear least squares trust-region algorithms. The results of these methods, as well as additional quantitative information related with each band, are also presented.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8