Efficient Processing of Corneal Confocal Microscopy Images - Elbita, Abdulhakim Mehemed;Qahwaji, Rami;Ipson, Stanley S.
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Corneal diseases are a significant cause of visual impairment and confocal microscopes provide ophthalmologists with diagnostic sequences of images, at incremental depths, of the corneal layers and structures. However, many factors can make diagnosis more difficult including noise, non-uniform illumination both within and between images and eye movement during image capture. Aiding ophthalmologists working with long sequences of corneal images requires the development of new algorithms. The novel algorithms devised for this purpose and presented in this book are divided into four main…mehr

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Produktbeschreibung
Corneal diseases are a significant cause of visual impairment and confocal microscopes provide ophthalmologists with diagnostic sequences of images, at incremental depths, of the corneal layers and structures. However, many factors can make diagnosis more difficult including noise, non-uniform illumination both within and between images and eye movement during image capture. Aiding ophthalmologists working with long sequences of corneal images requires the development of new algorithms. The novel algorithms devised for this purpose and presented in this book are divided into four main categories: enhancement, to improve individual images; automatic classification to identify which part of the cornea each image belongs to; automatic reordering of images into the right sequence; automatic registration of the images with each other.
Autorenporträt
Dr. Abdulhakim Elbita is a lecturer in IT,Misurata University, Libya. BSc (1989) from Benghazi University, Libya. MSc (2004) Software Engineering & PhD (2014) Computer Science at UoB, UK. Prof. Qahwaji FHEA CEng FIET is a Professor of Visual Computing at UoB, UK. Dr. Ipson is a researcher in UoB, UK. BSc in Applied Physics & PhD in Nuclear Physics.