Automatic classification of the interferential tear film lipid layer using colour texture analysis

Remeseiro, Beatriz; Penas, Marta; Barreira, N.; Mosquera, A.; Novo, Jorge; García-Resúa, Carlos

doi:10.1016/j.cmpb.2013.04.007

Cited by 21 publications

(23 citation statements)

References 18 publications

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“…4) and, for this reason, images are analyzed in three different ways [22], these being grayscale, the L*a*b* color space, and the RGB color space making use of the opponent color theory. Next, these three options for color analysis are explained.…”

Section: Color Analysismentioning

confidence: 99%

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Automatic grading system for human tear films

Remeseiro

Oliver

Tomlinson

et al. 2014

Pattern Anal Applic

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Dry eye syndrome is a prevalent disease which affects a wide range of the population and has a negative impact on their daily activities, such as driving or working with computers. Its diagnosis and monitoring require a battery of tests which measure different physiological characteristics. One of these clinical tests consists in capturing the appearance of the tear film using the Doane interferometer. Once acquired, the interferometry images are classified into one of the five categories considered in this research. The variability in appearance makes the use of a computer-based analysis system highly desirable. For this reason, a general methodology for the automatic analysis and categorization of interferometry images is proposed. The development of this methodology included a deep study based on several techniques for image texture analysis, three color spaces and different machine learning algorithms. The adequacy of this methodology was demonstrated, achieving classification rates over 93 %. Also, it provides unbiased results and allows important time savings for experts.

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Section: Color Analysismentioning

confidence: 99%

“…Several techniques for texture analysis could be applied, and so five popular methods were selected based on previous studies [22]. Three of these are signal processing methods: Butterworth filters, Gabor filters and the discrete wavelet transform.…”

Section: Texture Analysismentioning

confidence: 99%

Automatic grading system for human tear films

Remeseiro

Oliver

Tomlinson

et al. 2014

Pattern Anal Applic

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“…This descriptor is a quantitative vector composed of features which represent color and texture properties. A wide set of popular color and texture models has been deeply analyzed in [23], whose results have motivated the use of a 23-feature descriptor obtained as follows: 1) Color analysis. The CIE 1976 L*a*b* color space [24] is a chromatic color space which describes all the colors that the human eye can perceive.…”

Section: B Feature Vectormentioning

confidence: 99%

“…The CIE 1976 L*a*b* color space [24] is a chromatic color space which describes all the colors that the human eye can perceive. It is perceptually uniform, an important characteristic since clinicians' perception is being imitated [23]. In this step, the input image is transformed from RGB to CIELAB, to subsequently analyze the texture of its three channels.…”

Section: B Feature Vectormentioning

confidence: 99%

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CASDES: A Computer-Aided System to Support Dry Eye Diagnosis Based on Tear Film Maps

Remeseiro

Mosquera

Penedo

2016

IEEE J. Biomed. Health Inform.

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Dry eye syndrome is recognized as a growing health problem, and one of the most frequent reasons for seeking eye care. Its etiology and management challenge clinicians and researchers alike, and several clinical tests can be used to diagnose it. One of the most frequently used tests is the evaluation of the interference patterns of the tear film lipid layer. Based on this clinical test, this paper presents CASDES, a computer-aided system to support the diagnosis of dry eye syndrome. Furthermore, CASDES is also useful to support the diagnosis of other eye diseases, such as meibomian gland dysfunction, since it provides a tear film map with highly useful information for eye practitioners. Experiments demonstrate the robustness of this novel tool, which outperforms the previous attempts to create tear film maps and provides reliable results in comparison with the clinicians' annotations. Note that the processing time is noticeably reduced with the proposed method, which will help to promote its clinical use in the diagnosis and treatment of dry eye.

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