Artículo
Oyola, J.; Arroyo, V.; Ruedin, A.; Acevedo, D. "Detection of chickenpox vesicles in digital images of skin lesions" (2012) 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012. 7441 LNCS:583-590
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Abstract:
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.
Registro:
| Documento: | Artículo |
| Título: | Detection of chickenpox vesicles in digital images of skin lesions |
| Autor: | Oyola, J.; Arroyo, V.; Ruedin, A.; Acevedo, D. |
| Ciudad: | Buenos Aires |
| Filiación: | Departamento de Computación, Facultad de Ciencias Exactas Y Naturales, Universidad de Buenos Aires, (C1428EGA) Ciudad de Buenos Aires, Argentina |
| Palabras clave: | 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 |
| Año: | 2012 |
| Volumen: | 7441 LNCS |
| Página de inicio: | 583 |
| Página de fin: | 590 |
| DOI: | http://dx.doi.org/10.1007/978-3-642-33275-3_72 |
| Título revista: | 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012 |
| Título revista abreviado: | Lect. Notes Comput. Sci. |
| ISSN: | 03029743 |
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p583_Oyola |
Referencias:
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Citas:
---------- APA ----------
Oyola, J., Arroyo, V., Ruedin, A. & Acevedo, D. (2012) . Detection of chickenpox vesicles in digital images of skin lesions. 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012, 7441 LNCS, 583-590.http://dx.doi.org/10.1007/978-3-642-33275-3_72
---------- CHICAGO ----------
Oyola, J., Arroyo, V., Ruedin, A., Acevedo, D. "Detection of chickenpox vesicles in digital images of skin lesions" . 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012 7441 LNCS (2012) : 583-590.http://dx.doi.org/10.1007/978-3-642-33275-3_72
---------- MLA ----------
Oyola, J., Arroyo, V., Ruedin, A., Acevedo, D. "Detection of chickenpox vesicles in digital images of skin lesions" . 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012, vol. 7441 LNCS, 2012, pp. 583-590.http://dx.doi.org/10.1007/978-3-642-33275-3_72
---------- VANCOUVER ----------
Oyola, J., Arroyo, V., Ruedin, A., Acevedo, D. Detection of chickenpox vesicles in digital images of skin lesions. Lect. Notes Comput. Sci. 2012;7441 LNCS:583-590.http://dx.doi.org/10.1007/978-3-642-33275-3_72
