Open AccessSimple, Flexible Method to Extract Digital Image Features
Author(s) -
Mohammad S. Khrisat,
Hatim Ghazi Zaini,
Ziad Alqadi
Publication year - 2021
Publication title -
traitement du signal/ts. traitement du signal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.279
H-Index - 11
eISSN - 1958-5608
pISSN - 0765-0019
DOI - 10.18280/ts.380527
Subject(s) - computer science , artificial intelligence , process (computing) , image (mathematics) , feature extraction , identifier , pattern recognition (psychology) , simple (philosophy) , digital image , computer vision , feature (linguistics) , extraction (chemistry) , image processing , philosophy , linguistics , chemistry , epistemology , chromatography , programming language , operating system
The process of digital image features extraction is very important and it is required in many applications such as classification, prediction and regression. The extracted features for each image must be unique and capable to be used as an image identifier. In this paper we will introduce a method of image features extraction; it will be shown that this method will enhance the efficiency of the features extraction process. The proposed method will be experimentally tested using various images; the obtained experimental results will be compared with other existing methods of feature extraction to show the advantages of the proposed method and to show how to increase the speed up of the method.