IMAGE PROCESSING FOR MEDICAL EVALUATION ON NBI ENDOSCOPY IMAGES

IMAGE PROCESSING FOR MEDICAL EVALUATION ON NBI ENDOSCOPY IMAGES

Silva, Vítor Gabriel Sgobbi Martins; Shiguemori, Elcio H.; Cardia, Wellington

Full Article:

The employment of digital images has grown in recent years in several areas. Mainly due by technological and computer development, its use has a larger amount of avail-able information in applications such as: security, navigation and medicine. In most applica-tions, the use of image processing techniques for automatic information extraction has been needed to help experts and professionals in several areas. At this paper is presented an appli-cation of image processing and computer vision techniques with images obtained by the new NBI (Narrow Band Imaging) equipment, an endoscopic technique that has been used to en-hance the accuracy of diagnosis by using narrow-bandwidth filters in a red-green-blue (R/G/B) sequential illumination system. Several techniques for image processing have been employed in this work to highlight some lesions in order to assist diagnosis of flat lesions found in intestines or stomach.

The employment of digital images has grown in recent years in several areas. Mainly due by technological and computer development, its use has a larger amount of avail-able information in applications such as: security, navigation and medicine. In most applica-tions, the use of image processing techniques for automatic information extraction has been needed to help experts and professionals in several areas. At this paper is presented an appli-cation of image processing and computer vision techniques with images obtained by the new NBI (Narrow Band Imaging) equipment, an endoscopic technique that has been used to en-hance the accuracy of diagnosis by using narrow-bandwidth filters in a red-green-blue (R/G/B) sequential illumination system. Several techniques for image processing have been employed in this work to highlight some lesions in order to assist diagnosis of flat lesions found in intestines or stomach.

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DOI: 10.5151/meceng-wccm2012-18398

Referências bibliográficas

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Como citar:

Silva, Vítor Gabriel Sgobbi Martins; Shiguemori, Elcio H.; Cardia, Wellington; "IMAGE PROCESSING FOR MEDICAL EVALUATION ON NBI ENDOSCOPY IMAGES", p-1357-1362. In: In Proceedings of the 10th World Congress on Computational Mechanics [= Blucher Mechanical Engineering Proceedings, v. 1, n. 1]. São Paulo: Blucher, 2014.
ISSN 23580828, DOI 10.5151/meceng-wccm2012-18398