Ambiguity and Decision Making In Image Analysjs and Expert System: Fuzzy Mathematical Approach

Thc paper presents the different fuzzy tools those arc useful for lnklog decbion In Image processIng I1Jld vision prnblems, I1Jld ill designIng expert system when the patterns are ill-deftned or the Input daw does not have com plete, precise or reUnble infonnallon. These are of sIgnificant use in designing intelligent Interfaces whlcl1 is one of Ule major fuoctions of FGCS. Algorithms Cor funy enbancemcnt/segmentation of both gray tone Image and colour imllge, front end complier and representing rules and fucts In knowledge base lire demons(r;lled with Hlrious examples of reai life problem. IlIdexiJlg {('I'IJI,I: P(lf{(,J11 l'('cugJliliuJI. lillage processiJlg, Vi.YioJl. Experl systelm, FII:zy,\'ell' r rf-lE KEY lechnologic ~ for the " Fifth Generativn Compu- (0) selection of thresholds without commJtlJng our ler Sy~tell1 (FGCS) consist ofVLSI architecture, parallel selves to a specific segmentlltion when lhe regions: proce~~ing, logic programming, knolYledge based on rela in an image are ill-defined tional data base, applied artificial intelligence and pattern (h) to provide fuzzy transforms for enhancement and proc~'ising/<lnalysis. With this machine, the expected segmentation of colour (including pseodo colour)::,;cneralional change is more like a 'generic change ' whieh imagesj n. volve ~ not only a cha nge j n device technology, to YLSls, bUI <lbo simultaneous changes in the design philosophy (c) to equip all expeli syslem with a computational,I nd In the ne\ds of application [I]