The effect of visual perception on the required performance of imaging systems

Fairhurst, Alison M.; Lettington, Alan H.

doi:10.1080/09500340008235114

Cited by 9 publications

(1 citation statement)

References 13 publications

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“…Fairhurst and Lettington proposed using geometric figures to replace complex images in image recognition experiments in 1998 and 2000 [5,6]. The images used in this experiment, as shown in Tables 2-4, were circles with diameters of 50 cm, formed by geometric figures.…”

Section: Experimental Imaging Settingmentioning

confidence: 99%

Optical Design for Novel Glasses-Type 3D Wearable Ophthalmoscope

et al. 2019

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This paper proposes a new optical design that will cooperate with 3D image technology, infrared spectrum technology, future medical diagnostics, the cloud, and big data analysis. We first conducted image recognition experiments to compare the pros and cons of 2D and 3D frameworks in order to make sure that the optical and mechanical framework of a glasses-type 3D ophthalmoscope would be a better choice. The experimental results showed that a 3D image recognition rate (90%) was higher than a 2D image recognition rate (84%), and hence the 3D mechanism design was selected. The glasses-type 3D ophthalmoscope design is primarily based on the specification of indirect ophthalmoscope requirements and two working spectrums: a near infrared and a visible spectrum. The design is a 2.5x magnification fixed focal telecentric relay system with a right-angle prism, which uses a large aperture to increase the amount of incident light (F/# = 2.0). As the infrared spectrums that have better transmittance towards human eye tissue are 965 nm and 985 nm, so that we took account of the visible spectrum and the near-infrared spectrum simultaneously to increase the basis of the physician’s diagnosis. In this research, we conclude that a wearable ophthalmoscope can be designed optically and mechanically with 3D technology, an infrared and a visible working spectrum and further, possibly in cooperation with the cloud and big data analysis.

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Section: Experimental Imaging Settingmentioning

confidence: 99%

Optical Design for Novel Glasses-Type 3D Wearable Ophthalmoscope

et al. 2019

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Evaluating forecasts of extreme events for hydrological applications: an approach for screening unfamiliar performance measures

Cloke

Pappenberger

2008

Meteorological Applications

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Many different performance measures have been developed to evaluate field predictions in meteorology. However, a researcher or practitioner encountering a new or unfamiliar measure may have difficulty in interpreting its results, which may lead to them avoiding new measures and relying on those that are familiar. In the context of evaluating forecasts of extreme events for hydrological applications, this article aims to promote the use of a range of performance measures. Some of the types of performance measures that are introduced in order to demonstrate a six-step approach to tackle a new measure. Using the example of the European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble precipitation predictions for the Danube floods of July and August 2002, to show how to use new performance measures with this approach and the way to choose between different performance measures based on their suitability for the task at hand is shown.

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Application of blurred circular 3D images on the human vision model

Fang²

2018

Microsyst Technol

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The effect of visual perception on the required performance of imaging systems

Cited by 9 publications

References 13 publications

Optical Design for Novel Glasses-Type 3D Wearable Ophthalmoscope

Optical Design for Novel Glasses-Type 3D Wearable Ophthalmoscope

Evaluating forecasts of extreme events for hydrological applications: an approach for screening unfamiliar performance measures

Application of blurred circular 3D images on the human vision model

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