Visual and Physiological Optics: Optical Design, Image Processing and Machine Learning Algorithms
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: 15 January 2025 | Viewed by 3961
Special Issue Editor
Interests: visual optics; visual perception; biomedical optics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The visual function is the neural processing of the spatiotemporal information that occurs at the retina after light–matter interaction through the optics of the eye. Then, a proper decoding of the visual information requires both good retinal image quality of the eye as an optical instrument and good visual perception processes.
Therefore, the assessment of the visual function must be carried-out in terms of pure optical quality measurements and psychophysical approaches. Whereas optical assessment does not require a patient response, the visual perception must be evaluated via interacting with the subject.
On the other hand, the assessment of the ocular structures such as the cornea, crystalline lens and the retina needs high-resolution and high-speed acquisition imaging systems that usually require image processing algorithms to first improve the spatiotemporal information and then to extract semantic information from the clinical images. It is a constant challenge to develop optimized imaging instruments that are complemented with machine learning algorithms both in the processing of large datasets and in the extraction of relevant information through computer vision algorithms.
We invite you to participate in this Special Issue involving the optics of the eye, psychophysical aspects of the visual perception, new optical designs and the development of machine learning algorithms for image processing in visual and physiological optics.
Dr. Francisco Javier Avila Gomez
Guest Editor
Manuscript Submission Information
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Keywords
- visual optics
- physiological optics
- visual perception
- optical design
- optics of the eye
- machine learning algorithms
- image processing
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