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

Hassun, Isra Muhammad

Source

Iraqi Journal of Science

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