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CONTENT-BASED IMAGE RETRIEVAL USING EXPRESSION SENSITIVITY BY FUZZY INFERENCE SYSTEM

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Sukmawati Nur Endah

Abstract

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.

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How to Cite
ENDAH, Sukmawati Nur. CONTENT-BASED IMAGE RETRIEVAL USING EXPRESSION SENSITIVITY BY FUZZY INFERENCE SYSTEM. Jurnal Ilmiah Kursor, [S.l.], v. 8, n. 1, p. 21-32, dec. 2016. ISSN 2301-6914. Available at: <https://kursorjournal.org/index.php/kursor/article/view/71>. Date accessed: 22 nov. 2019. doi: https://doi.org/10.28961/kursor.v8i1.71.
Keywords
content-base image retrieval; expression sensitivity of image
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