Image-based evaluation of treatment responses of facial wrinkles using LDDMM registration and Gabor features

Abstract : This paper presents image-based quantitative evaluation of subtle variations in facial wrinkles for the same subject in response to a dermatological treatment. This is a novel application because the time series images of the same subject over a shorter time period of weeks are analyzed as compared to more prevalent inter-person analysis of facial skin/marks. We propose image features based on Gabor filter bank for an accurate quantitative evaluation of variations in facial wrinkles. Since variations in Gabor features are very small on a time period of weeks, we propose a framework to compare image features in key wrinkle sites only while excluding the noise introduced by non-wrinkle sites. The framework consists of finer registration of images using Large Deformation Diffeo-morphic Metric Mapping (LDDMM) and detection of wrinkle sites using Gabor filter bank and morphological image processing. Preliminary experiments show that the framework is useful in calculating variations in Gabor features at detected sites and indicating trends in the response of facial wrinkles to the dermatological treatment.
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Communication dans un congrès
ICIP 2015 - IEEE International Conference on Image Processing, Sep 2015, Québec, Canada. IEEE
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Dernière modification le : samedi 27 janvier 2018 - 01:31:38
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  • HAL Id : hal-01154005, version 1

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Nazre Batool, Josiane Zerubia. Image-based evaluation of treatment responses of facial wrinkles using LDDMM registration and Gabor features. ICIP 2015 - IEEE International Conference on Image Processing, Sep 2015, Québec, Canada. IEEE. 〈hal-01154005〉

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