Global based thermal image registration for diagnosis of morphoea

Izhar, L.I. and Stathaki, T. and Howell, K. (2016) Global based thermal image registration for diagnosis of morphoea. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Analyzing and interpreting of thermograms have been increasingly employed in the diagnosis and monitoring of diseases thanks to its non-invasive, non-harmful nature and low cost. This paper presents a thermal image analysis system based on image registration for morphoea disease diagnosis. A novel system is proposed to improve the diagnosis and monitoring of morphoea based on integration with the published lines of Blaschko. In this application, image registration based on global and local registration methods are found inevitable. A modified normalized gradient cross-correlation (NGC) method to reduce large geometrical differences between two multimodal images of different subjects that are represented by smooth gray edge maps is proposed for the global registration approach. It is shown in this paper that the NGC method outperforms phase correlation (PC) method by a lower rate of misregistration. This demonstrates that by using the gradients of the gray edge maps, the performance of the PC based image registration method can be greatly improved. © International Federation for Medical and Biological Engineering 2016.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 2; Conference of International Conference for Innovation in Biomedical Engineering and Life Sciences, ICIBEL 2015 ; Conference Date: 6 December 2015 Through 8 December 2015; Conference Code:158329
Uncontrolled Keywords: Biomedical engineering; Diagnosis; Infrared imaging, Geometrical differences; Global registration; Local registration; Morphoea; Normalized gradient; Phase correlation method; Registration methods; Thermal image analysis, Image registration
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:19
Last Modified: 09 Nov 2023 16:19
URI: https://khub.utp.edu.my/scholars/id/eprint/8008

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