Wavelet energy and shape features for plants recognition
Other Title(s)
طاقة المويجة و خصائص الشكل لتمييز النباتات
Parallel Title
طاقة المويجة و خصائص الشكل لتمييز النباتات
Author
Source
Issue
Vol. 59, Issue 2B (30 Jun. 2018), pp.956-962, 7 p.
Publisher
University of Baghdad College of Science
Publication Date
2018-06-30
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Information Technology and Computer Science
Abstract EN
This work presents plants recognition system with rotation invariant based on plant leaf.
Wavelet energy features are extracted for sub-images (blocks) in addition to three of leaf shape features : [area, perimeter, circularity ratio].
(8) species of leaves are used in different size and color, (15) samples for each leaf are used.
Leaves images are rotated at angles : 90˚, 180˚, 270˚(counterclockwise,clockwise).
Euclidean distance is used, the recognition rate was 98.2% with/without rotation.
American Psychological Association (APA)
Hassun, Isra Muhammad. 2018. Wavelet energy and shape features for plants recognition. Iraqi Journal of Science،Vol. 59, no. 2B, pp.956-962.
https://search.emarefa.net/detail/BIM-838070
Modern Language Association (MLA)
Hassun, Isra Muhammad. Wavelet energy and shape features for plants recognition. Iraqi Journal of Science Vol. 59, no. 2B (2018), pp.956-962.
https://search.emarefa.net/detail/BIM-838070
American Medical Association (AMA)
Hassun, Isra Muhammad. Wavelet energy and shape features for plants recognition. Iraqi Journal of Science. 2018. Vol. 59, no. 2B, pp.956-962.
https://search.emarefa.net/detail/BIM-838070
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 962
Record ID
BIM-838070