Wavelet Energy and Shape Features for Plants Recognition

  • Israa Mohammed Hassoon Department of Computer Science, College of Science, University of Mustansiriyah (UOM), Baghdad, Iraq
Keywords: Shape Features, Leaf Shape, Sub-Images, Wavelet Transform, Wavelets Energy

Abstract

     This work presents plants recognition system with rotation invariant based on plant leaf. Wavelet energy features are extracted for sub-images (blocks) beside 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.

Published
2018-05-28
How to Cite
Hassoon, I. M. (2018). Wavelet Energy and Shape Features for Plants Recognition. Iraqi Journal of Science, 59(2B), 956-962. Retrieved from https://ijs.uobaghdad.edu.iq/index.php/eijs/article/view/335
Section
Computer Science