Open AccessFuzzy Logic Using in Images Retrieval Depending on Their Features
Author(s) -
Faiez Musa Lahmood Al-Rufaye,
Mohammed Muanis I. Al-Sagheer,
Marwah Thamer Ali
Publication year - 2019
Publication title -
xi'nan jiaotong daxue xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 21
ISSN - 0258-2724
DOI - 10.35741/issn.0258-2724.54.5.32
Subject(s) - computer science , jpeg , artificial intelligence , fuzzy logic , precision and recall , image retrieval , information retrieval , content based image retrieval , image processing , data mining , set (abstract data type) , automatic image annotation , image (mathematics) , pattern recognition (psychology) , computer vision , database , programming language
Image processing has become one of the most important branches of computer science, especially after entering into several areas of life such as medicine, engineering and various sciences. In our current research, we have developed a system of image recognition based on image characteristics and some content information using the most important artificial intelligence algorithms, a fuzzy logic algorithm, to obtain complete image information using small values ranging from 0 to 1. The program was executed on a set of standard database called the WANG database. It holds the contents of 1000 images from the Corel stock photo database, in JPEG format. The system was evaluated using the recall method. This method calculates the proportion of correct results identified by the system as correct results with correct result identified by the classic system.