Comparison of different image enhancing techniques for medical thermal images

• Tipo: Artigo em Revista Científica Internacional
• Data: 2015

Autores

Joaquim Gabriel (Autor) FEUP; Ricardo Vardasca (Autor) FEUP; Peter Plassmann (Autor) Outra; Francis Ring (Autor) Outra

Revista

Título: Journal of Medical Imaging and Health Informatics

Vol. 5 Nº 4

Páginas: 1-6

ISSN: 2156-7018

Editora: American Scientific Publishers

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00G-BWQ

DOI: 10.1166/jmihi.2015.1453

Abstract (EN): Medical infrared (IR) images are, like other medical images, sensitive to noise, which affects directly the temperature measurement of the subject. There are several noise removal techniques that have good performance on digital images, but may produce different temperature readings on thermal images. Hundred and twenty different noisy images were selected from a database and after being processed with several noise removal techniques, the result was statistically analyzed using the standard parameters: maximum, minimum and mean temperature, standard deviation of same region of interest, root mean square error, signal to noise ratio, cross correlation coefficient. In the end, all techniques were compared and graded according with the results. This investigation shows that all techniques produce different results, the recommended method for improving medical thermal images are the Median, Mean and Wiener filters. Results however suggest that noise filtering should only be applied when specifically needed.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6