Automatic colour correction of digital skin images in teledermatology

Matveev, N.V.; Kobrinsky, Boris

doi:10.1258/135763306779379978

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…Это может осложнить визуальное сравнение изображений в ди-намическом ряду. Во избежание этого нами был разра-ботан отдельный модуль цветокоррекции TransImage, позволяющий «нормализовать» цифровые изображе-ния кожи, полученные в разных условиях [11].…”

Section: методы исследованияunclassified

A Graphic Tool for Estimation of the Area of Burns in Children

Акименков¹,

Будкевич²,

Долотова³

et al. 2018

Ross. vestn. perinatol. pediatr.

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The severity of burns depends both on their size and depth of affected tissues. The existing simple methods for estimation of the injured skin area are not precise, especially in children. During last decades, attempts were made to employ information technologies for more precise estimation of the skin area affected by the burn. Usually, a special template («skitsa») is used to represent a human body in a schematic way, allowing automatic calculation of affected area with high accuracy. It is especially important in children, since proportions of their bodies vary greatly at different ages.A computer graphic tool for estimation of area of burns was designed for the Department of Pediatric Burns. It uses an algorithm that allows to adjust burn data displayed on a two-dimensional template, taking into account the three-dimensional nature of the human body. Such correction increases burn area estimation accuracy. Additionally, this system allows using digital photographs of burn area for dynamic assessment of skin condition during treatment. A special algorithm is used to compensate for possible color distortions of the photographs in series, enabling better possibility of patient’s skin condition comparison at different times.

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Section: методы исследованияunclassified

A Graphic Tool for Estimation of the Area of Burns in Children

Акименков¹,

Будкевич²,

Долотова³

et al. 2018

Ross. vestn. perinatol. pediatr.

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“…In [51], an algorithm for automatic color correction of digital skin images in teledermatology was proposed.…”

Section: Color Correctionmentioning

confidence: 99%

Improved Skin Lesion Diagnostics for General Practice by Computer-Aided Diagnostics

Rosado¹,

Vasconcelos²,

Castro³

et al. 2015

Dermoscopy Image Analysis

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“…Similarities between diagnostics using remote images after processing and face-to-face consultation with correlation close to 100% are found in the literature. 17 – 23 …”

Section: Introductionmentioning

confidence: 99%

“…Similarities between diagnostics using remote images after processing and face-to-face consultation with correlation close to 100% are found in the literature. [17][18][19][20][21][22][23] Among the challenges encountered in image processing, the existence of different color standards between devices and effects caused by illumination or degradation of the quality of the photograph can be highlighted. In a previous work, 24 a methodology was proposed to calibrate and restore images in teledermatology in order to develop a system composed of a physical device ( Fig.…”

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confidence: 99%

Objective color calibration for manufacturing facial prostheses

2021

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Significance: Rehabilitation through facial prostheses' main goal is to aid individual's social reintegration as well as improving their quality of life. However, this treatment is not yet widely available in Brazil due to the lack of specialized clinics and the cost associated with the high number of necessary medical appointments until the final result. One of the steps in the process consists of measuring skin color, which is observer-dependent and may suffer from the effect of metamerism. Aim: The methodology of our work aims to obtain a standard between different devices and greater fidelity to the color seen in person in order to reduce face-to-face iterations, reduce costs, and ensure better final results. Approach: A physical device and a computer program were improved from previous projects. The changes included implementing the Thin-Plate Spline 3D algorithm for color calibration, in addition to an optional non-uniform illumination correction in the process. We also aim to improve the project's accessibility using a colorimeter. The methodology and the algorithms were both compared to readings from direct skin measurements as well as color references. Results: After processing, the ΔE Ã ab metric between images from the same segments is taken with different cameras and conditions of illumination decreased from 18.81 AE 4.85 to 4.85 AE 1.72. In addition, when the images were compared to colorimetric readings of the skin, the difference went from 14.93 AE 4.11 to 5.85 AE 1.61. It was also observed that using a less expensive device did not impact the readings. The project is open source and available at Github. Conclusions: The results demonstrate the possibility of applying the methodology to assist in the manufacturing of facial prostheses to decrease the total number of consultations, in addition to providing greater reliability of the final result.

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Automatic colour correction of digital skin images in teledermatology

Cited by 5 publications

References 1 publication

A Graphic Tool for Estimation of the Area of Burns in Children

A Graphic Tool for Estimation of the Area of Burns in Children

Improved Skin Lesion Diagnostics for General Practice by Computer-Aided Diagnostics

Objective color calibration for manufacturing facial prostheses

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