title: Granular computing in mosaicing of images from capsule endoscopy.
abstract: This article introduces methods for modeling compound granules used in algorithms which could successfully construct a mosaic from the images coming from an endoscope capsule. In order to apply the algorithm, combined images must have a common area where the correspondence of points is determined. That allows to determine the transformation parameters to compensate movement of the capsule that occurs between moments when the mosaic images were acquired. The developed algorithm for images from the capsule endoscopy has proved to be faster and comparably accurate as commercial GDB-ICP algorithm.
authors.affiliation: Chair of Computer Science, University of Rzeszów, Pigonia 1, 35-310 Rzeszów, Poland.
authors.forename: Lukasz
authors.initials: L
authors.lastname: Maciura
authors.affiliation: Interdisciplinary Centre for Computational Modelling, University of Rzeszów, Pigonia 1, 35-310 Rzeszów, Poland.
authors.forename: Jan G
authors.initials: JG
authors.lastname: Bazan
keywords: Capsule endoscopy; Granular computing; Image mosaic; Image registration; Keypoints matching