Multispectral and thermal images for acne vulgaris classification

Huamyun, J. and Malik, A.S. (2011) Multispectral and thermal images for acne vulgaris classification. In: UNSPECIFIED.

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Abstract

While measuring the severity of acne vulgaris, it is necessary to classify the lesion types. The classification of these lesions is done by differentiating between the features of each acne lesion. All of these features are not noticeable through RGB color CCD sensor. In this report, we propose that with the use of additional sensor technology, those features may become evident, i.e. Multispectral and thermal images. We have also discussed our hypothesis about the use multispectral and thermal images in this scenario and have supported our points based on literature. © 2011 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 4; Conference of 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011 ; Conference Date: 19 September 2011 Through 20 September 2011; Conference Code:88531
Uncontrolled Keywords: Acne vulgaris; Color CCD; Multi-spectral; Multispectral imaging; Sensor technologies; Thermal images, Classification (of information); Infrared imaging; Sustainable development, Sensors
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:49
Last Modified: 09 Nov 2023 15:49
URI: https://khub.utp.edu.my/scholars/id/eprint/1722

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