Detection of chickenpox vesicles in digital images of skin lesions

Chickenpox is a viral disease characterized by itchy skin vesicles that can have severe complications in adults. A tool for automatic detection of these lesions in patients' photographs is highly desirable to help the physician in the diagnosis. In this work we design a method for detection of...

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Autores principales: Ruedin, Ana María Clara, Acevedo, Daniel G.
Publicado: 2012
Materias:
chickenpox
detection
image processing
skin lesions
Automatic Detection
Color transform
Digital image
False detections
Image processing technique
Kullback Leibler divergence
Skin lesion
Viral disease
Computer vision
Dermatology
Diagnosis
Edge detection
Error detection
Hough transforms
Image analysis
Image processing
Photography
Statistical tests
Animals
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p583_Oyola
http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p583_Oyola
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_03029743_v7441LNCS_n_p583_Oyola
record_format dspace
spelling paper:paper_03029743_v7441LNCS_n_p583_Oyola2023-06-08T15:28:46Z Detection of chickenpox vesicles in digital images of skin lesions Ruedin, Ana María Clara Acevedo, Daniel G. chickenpox detection image processing skin lesions Automatic Detection chickenpox Color transform Digital image False detections Image processing technique Kullback Leibler divergence Skin lesion Viral disease Computer vision Dermatology Diagnosis Edge detection Error detection Hough transforms Image analysis Image processing Photography Statistical tests Animals Chickenpox is a viral disease characterized by itchy skin vesicles that can have severe complications in adults. A tool for automatic detection of these lesions in patients' photographs is highly desirable to help the physician in the diagnosis. In this work we design a method for detection of chickenpox skin lesions in images. It is a combination of image processing techniques - color transform, equalization, edge detection, circular Hough transform- and statistical tests. We obtain highly satisfactory results in the detection of chickenpox vesicles, the elimination of false detections using the Kullback Leibler divergence, and in preliminary tests for discrimination between chickenpox and herpes zoster. © 2012 Springer-Verlag. Fil:Ruedin, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Acevedo, D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p583_Oyola http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p583_Oyola
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic chickenpox
detection
image processing
skin lesions
Automatic Detection
chickenpox
Color transform
Digital image
False detections
Image processing technique
Kullback Leibler divergence
Skin lesion
Viral disease
Computer vision
Dermatology
Diagnosis
Edge detection
Error detection
Hough transforms
Image analysis
Image processing
Photography
Statistical tests
Animals
spellingShingle chickenpox
detection
image processing
skin lesions
Automatic Detection
chickenpox
Color transform
Digital image
False detections
Image processing technique
Kullback Leibler divergence
Skin lesion
Viral disease
Computer vision
Dermatology
Diagnosis
Edge detection
Error detection
Hough transforms
Image analysis
Image processing
Photography
Statistical tests
Animals
Ruedin, Ana María Clara
Acevedo, Daniel G.
Detection of chickenpox vesicles in digital images of skin lesions
topic_facet chickenpox
detection
image processing
skin lesions
Automatic Detection
chickenpox
Color transform
Digital image
False detections
Image processing technique
Kullback Leibler divergence
Skin lesion
Viral disease
Computer vision
Dermatology
Diagnosis
Edge detection
Error detection
Hough transforms
Image analysis
Image processing
Photography
Statistical tests
Animals
description Chickenpox is a viral disease characterized by itchy skin vesicles that can have severe complications in adults. A tool for automatic detection of these lesions in patients' photographs is highly desirable to help the physician in the diagnosis. In this work we design a method for detection of chickenpox skin lesions in images. It is a combination of image processing techniques - color transform, equalization, edge detection, circular Hough transform- and statistical tests. We obtain highly satisfactory results in the detection of chickenpox vesicles, the elimination of false detections using the Kullback Leibler divergence, and in preliminary tests for discrimination between chickenpox and herpes zoster. © 2012 Springer-Verlag.
author Ruedin, Ana María Clara
Acevedo, Daniel G.
author_facet Ruedin, Ana María Clara
Acevedo, Daniel G.
author_sort Ruedin, Ana María Clara
title Detection of chickenpox vesicles in digital images of skin lesions
title_short Detection of chickenpox vesicles in digital images of skin lesions
title_full Detection of chickenpox vesicles in digital images of skin lesions
title_fullStr Detection of chickenpox vesicles in digital images of skin lesions
title_full_unstemmed Detection of chickenpox vesicles in digital images of skin lesions
title_sort detection of chickenpox vesicles in digital images of skin lesions
publishDate 2012
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p583_Oyola
http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p583_Oyola
work_keys_str_mv AT ruedinanamariaclara detectionofchickenpoxvesiclesindigitalimagesofskinlesions
AT acevedodanielg detectionofchickenpoxvesiclesindigitalimagesofskinlesions
_version_ 1768545142121168896

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