Image Quality Assessment of Digital Image Capturing Devices for Melanoma Detection

Autor: Maruška Marovt, Bogdan Dugonik, Aleksandra Dugonik, Marjan Golob
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Image quality
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Sharpening
lcsh:Technology
lcsh:Chemistry
030207 dermatology & venereal diseases
03 medical and health sciences
Digital image
0302 clinical medicine
image sharpness
melanoma detection
image quality
spatial frequency response
General Materials Science
Computer vision
mole screening
Instrumentation
Image resolution
lcsh:QH301-705.5
Fluid Flow and Transfer Processes
Test target
business.industry
lcsh:T
Process Chemistry and Technology
General Engineering
colour response
lcsh:QC1-999
Computer Science Applications
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
030220 oncology & carcinogenesis
Artificial intelligence
dermoscopy
business
Optical resolution
lcsh:Engineering (General). Civil engineering (General)
Mobile device
lcsh:Physics
image resolution
Camera resectioning
Zdroj: Applied Sciences, Vol 10, Iss 2876, p 2876 (2020)
Applied Sciences
Volume 10
Issue 8
ISSN: 2076-3417
Popis: The fast-growing incidence of skin cancer, especially melanoma, is the guiding principle for intense development of various digital image-capturing devices providing easier recognition of melanoma by dermatologists. Handheld and digital dermoscopy, following of mole changes with smartphones and digital analysing of mole images, is based on evaluation of the colours, shape and deep structures in the skin moles. Incorrect colour information of an image, under- or overexposed images, lack of sharpness and low resolution of the images, can lead to melanoma misdiagnosis. The purpose of our study was to determine the colour error in the image according to the given lighting conditions and different camera settings. We focused on measuring the image quality parameters of smartphones and high-resolution cameras to compare them with the results of state-of-the-art dermoscopy device systems. We applied standardised measuring methods. The spatial frequency response method was applied for measuring the sharpness and resolution of the tested camera systems. Colour images with known reference values were captured from the test target, to evaluate colour error as a CIELAB (Commission Internationale de l&rsquo
Eclairage) &Delta
E*ab colour difference as seen by a human observer. The results of our measurements yielded two significant findings. First, all tested cameras produced inaccurate colours when operating in automatic mode, and second, the amount of sharpening was too intensive. These deficiencies can be eliminated through adjusting the camera parameters manually or by image post-production. The presented two-step camera calibration procedure improves the colour accuracy of captured clinical and dermoscopy images significantly.
Databáze: OpenAIRE
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