The Use of the Mathematical Apparatus of Spatial Granulation in The Problems of Perception and Image Recognition
S.A. Butenkov, V.V. Krivsha, Nataly S. Krivsha · 2021
The current chapter presents the new techniques and algorithms for the perception and recognition of images, based on the mathematic approach to the space data granulation. All stages of image perception and recognition (Computational Intelligence problems) are performed with the very common and integrated spatial granules model that optimally presents the large data amount for an arbitrary space dimension and under the information uncertainty conditions. The main results are the technical implementation of L. Zadeh Machine of Granular Computing. The presented techniques and algorithms may be adopted for large classes of image-like data, as the various signals spectral portraits, etc.