Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/195847
Type: Artigo de periódico
Title: Quantitative Analysis And Classification Of Afm Images Of Human Hair.
Author: Gurden, S P
Monteiro, V F
Longo, E
Ferreira, M M C
Abstract: The surface topography of human hair, as defined by the outer layer of cellular sheets, termed cuticles, largely determines the cosmetic properties of the hair. The condition of the cuticles is of great cosmetic importance, but also has the potential to aid diagnosis in the medical and forensic sciences. Atomic force microscopy (AFM) has been demonstrated to offer unique advantages for analysis of the hair surface, mainly due to the high image resolution and the ease of sample preparation. This article presents an algorithm for the automatic analysis of AFM images of human hair. The cuticular structure is characterized using a series of descriptors, such as step height, tilt angle and cuticle density, allowing quantitative analysis and comparison of different images. The usefulness of this approach is demonstrated by a classification study. Thirty-eight AFM images were measured, consisting of hair samples from (a) untreated and bleached hair samples, and (b) the root and distal ends of the hair fibre. The multivariate classification technique partial least squares discriminant analysis is used to test the ability of the algorithm to characterize the images according to the properties of the hair samples. Most of the images (86%) were found to be classified correctly.
Subject: African Continental Ancestry Group
Algorithms
European Continental Ancestry Group
Hair
Hair Follicle
Humans
Microscopy, Atomic Force
Sensitivity And Specificity
United States
Rights: fechado
Identifier DOI: 10.1111/j.0022-2720.2004.01350.x
Address: http://www.ncbi.nlm.nih.gov/pubmed/15230871
Date Issue: 2004
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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