Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-10-07
Computer Science
Computer Vision and Pattern Recognition
8 pages; International Journal of Computer Science & Information Technology (IJCSIT), Vol 3, No 3, June 2011
Scientific paper
10.5121/ijcsit.2011.3318
Shape is an important aspects in recognizing plants. Several approaches have been introduced to identify objects, including plants. Combination of geometric features such as aspect ratio, compactness, and dispersion, or moments such as moment invariants were usually used toidentify plants. In this research, a comparative experiment of 4 methods to identify plants using shape features was accomplished. Two approaches have never been used in plants identification yet, Zernike moments and Polar Fourier Transform (PFT), were incorporated. The experimental comparison was done on 52 kinds of plants with various shapes. The result, PFT gave best performance with 64% in accuracy and outperformed the other methods.
Kadir Abdul
Nugroho Lukito Edi
Santosa Paulus Insap
Susanto Adhi
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