Open AccessPattern Recognition in Digital Images using Fractals
Author(s) -
Mansoor Farooq,
Mubashir Hassan Khan
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b4229.129219
Subject(s) - artificial intelligence , computer science , pattern recognition (psychology) , computer vision , fractal , invariant (physics) , image processing , digital image , digital image processing , scale (ratio) , scale invariant feature transform , rotation (mathematics) , image (mathematics) , mathematics , geography , mathematical physics , mathematical analysis , cartography
Pattern recognition in digital images is a conjoint problem with application in remote sensing, electron microscopy, medical imaging and astrophysics, still no general solution which can be rivalled with the human cognitive system in which a pattern can be conceded subject to random positioning and scale. This research has stemmed in the design and implementation of a new algorithm for general pattern recognition based on the use of fractal image compression. This approach has for the first time allowed the pattern recognition problem to be solved in a way that is invariant of rotation and scale. It allows both ANNs and correlation to be used subject to appropriate pre-and post-processing techniques for digital image processing.