Study of normal ocular thermogram using textural parameters

Ocular surface temperature (OST) has been studied with numerous approach and Infrared (IR) thermography has proved to be the best way to capture temperature distribution over some surfaces. It is applied to a number of biomedical applications including studies in the field of ophthalmology. However,...

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Published inInfrared physics & technology Vol. 53; no. 2; pp. 120 - 126
Main Authors Tan, Jen-Hong, Ng, E.Y.K., Rajendra Acharya, U., Chee, C.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.03.2010
Elsevier
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Online AccessGet full text
ISSN1350-4495
1879-0275
DOI10.1016/j.infrared.2009.10.006

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Abstract Ocular surface temperature (OST) has been studied with numerous approach and Infrared (IR) thermography has proved to be the best way to capture temperature distribution over some surfaces. It is applied to a number of biomedical applications including studies in the field of ophthalmology. However, the analysis of an ocular thermogram is largely in nascent stage, and is usually achieved by first-order texture analysis. This current study conducted second-order texture analysis on ocular thermal images, mainly by cross co-occurrence matrix together with first-order texture analysis, moments and difference histogram. It was found that, for subjects aged above 35 years old their interocular difference in median, textural contrast, moment 2 and moment 3 (in absolute value) were significantly higher than younger peers. Several significant linear correlations among investigated features were observed. The features extracted from cross co-occurrence matrix may play an important role in the diagnosis of ocular diseases.
AbstractList Ocular surface temperature (OST) has been studied with numerous approach and Infrared (IR) thermography has proved to be the best way to capture temperature distribution over some surfaces. It is applied to a number of biomedical applications including studies in the field of ophthalmology. However, the analysis of an ocular thermogram is largely in nascent stage, and is usually achieved by first-order texture analysis. This current study conducted second-order texture analysis on ocular thermal images, mainly by cross co-occurrence matrix together with first-order texture analysis, moments and difference histogram. It was found that, for subjects aged above 35 years old their interocular difference in median, textural contrast, moment 2 and moment 3 (in absolute value) were significantly higher than younger peers. Several significant linear correlations among investigated features were observed. The features extracted from cross co-occurrence matrix may play an important role in the diagnosis of ocular diseases.
Ocular surface temperature (OST) has been studied with numerous approach and Infrared (IR) thermography has proved to be the best way to capture temperature distribution over some surfaces. It is applied to a number of biomedical applications including studies in the field of ophthalmology. However, the analysis of an ocular thermogram is largely in nascent stage, and is usually achieved by first-order texture analysis. This current study conducted second-order texture analysis on ocular thermal images, mainly by cross co-occurrence matrix together with first-order texture analysis, moments and difference histogram. It was found that, for subjects aged above 35 years old their interocular difference in median, textural contrast, moment 2 and moment 3 (in absolute value) were significantly higher than younger peers. Several significant linear correlations among investigated features were observed. The features extracted from cross co-occurrence matrix may play an important role in the diagnosis of ocular diseases.
Author Chee, C.
Tan, Jen-Hong
Ng, E.Y.K.
Rajendra Acharya, U.
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  organization: Medical and Surgical Retinal Centre, Department of Ophthalmology, National University Hospital, 119074 Singapore. Singapore
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Issue 2
Keywords Texture analysis
Thermogram
Infrared
Cross co-occurrence matrix
Difference histogram
Infrared thermography
Temperature distribution
Surface temperature
Ophthalmology
Diseases
Language English
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Snippet Ocular surface temperature (OST) has been studied with numerous approach and Infrared (IR) thermography has proved to be the best way to capture temperature...
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SubjectTerms Correlation
Cross co-occurrence matrix
Diagnosis
Difference histogram
Exact sciences and technology
Infrared
Infrared radiation
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Ophthalmology
Physics
Surface layer
Texture
Texture analysis
Thermal instruments, apparatus and techniques
Thermogram
Thermometry
Title Study of normal ocular thermogram using textural parameters
URI https://dx.doi.org/10.1016/j.infrared.2009.10.006
https://www.proquest.com/docview/1671230427
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