Open AccessCONTENT-BASED IMAGE RETRIEVAL USING EXPRESSION SENSITIVITY BY FUZZY INFERENCE SYSTEM
Author(s) -
Sukmawati Nur Endah
Publication year - 2016
Publication title -
jurnal ilmiah kursor: menuju solusi teknologi informasi
Language(s) - English
Resource type - Journals
ISSN - 2301-6914
DOI - 10.28961/kursor.v8i1.71
Subject(s) - image retrieval , artificial intelligence , automatic image annotation , computer science , adaptive neuro fuzzy inference system , image texture , computer vision , inference , fuzzy logic , visual word , expression (computer science) , pattern recognition (psychology) , content based image retrieval , image processing , data mining , image (mathematics) , fuzzy control system , programming language
Image retrieval can be divided into two types context-based and the content-based. Image retrieval based on the content refers to the image features such as color, texture, shape, semantics or sensations. This paper addresses the content-base image retrieval system based on expression sensitivity. It can be image or text query for input the system. Based on Itten theory, expression sensitivity consist of warm, cold, relax, anxious, and life. The research system uses two fuzzy inference system. Firstly, fuzzy inference system is used to decide image region of color. The image size is 256 x 256 pixel. Output the first fuzzy inference system is input for the second fuzzy inference system. The second fuzzy inference system is used to determined expression sensitivity of image. Degree of accuracy based on respondent from 50 images and 20 respondents is 42% for text query and 55% for image query. The further research, it can be used for other image such as medical image with certain criteria.