Classing images using words package model and fuzzy weighting of the words of the vocabulary
Javad Haddadnia, Omid Rahmani Seryasat · Zenodo (CERN European Organization for Nuclear Research) · 2014
Pictures displaying by using the words package model is one of new approaches to manage these types of data’s which is entered the image area and multimedia data’s by inspiring of literatures classifying methodology and information theory. One of the challenges Earlier on displaying is how to peering up Extracted areas from the image into words dictionary. In this article fuzzy weighting methodology is used for image classifying so that every area of image is peering up to one or words of dictionary words. Experimental results shows that the introduced weighting methodology has higher accuracy on image classifying comparing to a peering up methodology in which every area of image is peered up to a word of dictionary words with the same weight.