Finding Longest Common Substrings in Documents
Author(s) -
Mehdi Khalil,
Mohammed Hadi
Publication year - 2015
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2015.09.04
Subject(s) - computer science , contrast (vision) , substring , image (mathematics) , artificial intelligence , fuzzy logic , domain (mathematical analysis) , inference , contrast enhancement , interpretation (philosophy) , computer vision , fuzzy inference , pattern recognition (psychology) , adaptive neuro fuzzy inference system , mathematics , fuzzy control system , data structure , programming language , medicine , mathematical analysis , magnetic resonance imaging , radiology
Contrast enhancement is an emerging method for image enhancement of specific application to analyze the images clearer for interpretation and analysis in the spatial domain. The goal of Contrast enhancement is to serve an input image so that resultant image is more suited to the particular application. Images with good steps of grays between black and white are commonly the best images for the aim of human perception, a novel approach is proposed in this paper based on fuzzy logic. Mamdani fuzzy inference system models are developed to enhance the contrast of images based on different membership functions (MFs).
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