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Wavelet Energy and Shape Features for Plants Recognition | ||
| Iraqi Journal of Science | ||
| Article 1, Volume 59, Issue 2, 2018, Pages 956-962 | ||
| Author | ||
| Israa Mohammed Hassoon | ||
| 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. | ||
| Keywords | ||
| Shape Features; Leaf Shape; Sub; Images; Wavelet Transform; Wavelets Energy | ||
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