Flavia: a Leaf Recognition Algorithm for Plant Classification using PNN (Probabilistic Neural Network). The purpose of this MATLAB program is to teach a computer to classify plants via their leaves. You just need to input the leaf image of plant (acquired via digital camera or scanners), then the computer can tell you what kind of plant it is. Presently, our system can classify 32 plants. The average accuracy is 93% for all of them. We utilize the PNN (Probabilistic Neural Network) to implement this AI process. 12 characters of leaves are taken into account, including geometrical ones and morphological ones. After discriminant analysis (stepwise method), all these characters are reserved. PCA orthogonalizes these 12 characters into 5 principal variables, which are input vectors of the PNN. Details can be found in our paper.

References in zbMATH (referenced in 15 articles )

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  1. Cho, Min Ho; Kurtek, Sebastian; MacEachern, Steven N.: Aggregated pairwise classification of elastic planar shapes (2021)
  2. Samir, Chafik; Huang, Wen: Coordinate descent optimization for one-to-one correspondence and supervised classification of 3D shapes (2021)
  3. Zong, Linlin; Zhang, Xianchao; Liu, Xinyue; Yu, Hong: Multi-view clustering on data with partial instances and clusters (2020)
  4. Cho, Min Ho; Asiaee, Amir; Kurtek, Sebastian: Elastic statistical shape analysis of biological structures with case studies: a tutorial (2019)
  5. Li, Rui; Shi, Xiayan; Sheng, Yun; Zhang, Guixu: A new area-based convexity measure with distance weighted area integration for planar shapes (2019)
  6. Turkoglu, Muammer; Hanbay, Davut: Recognition of plant leaves: an approach with hybrid features produced by dividing leaf images into two and four parts (2019)
  7. El-Sharkasy, M. M.; Altwme, Fatma: Some new types of approximations via minimal structure (2018)
  8. Huang, Wen; Hand, Paul: Blind deconvolution by a steepest descent algorithm on a quotient manifold (2018)
  9. Wäldchen, Jana; Mäder, Patrick: Plant species identification using computer vision techniques: a systematic literature review (2018)
  10. Wang, Zhaobin; Li, Huale; Zhu, Ying; Xu, TianFang: Review of plant identification based on image processing (2017)
  11. Huang, Wen; Gallivan, Kyle A.; Srivastava, Anuj; Absil, Pierre-Antoine: Riemannian optimization for registration of curves in elastic shape analysis (2016)
  12. Aftab, Wasim; Moinuddin, Muhammad; Shaikh, Muhammad Shafique: A novel kernel for RBF based neural networks (2014)
  13. Laga, Hamid; Kurtek, Sebastian; Srivastava, Anuj; Miklavcic, Stanley J.: Landmark-free statistical analysis of the shape of plant leaves (2014)
  14. Fotopoulou, F.; Laskaris, N.; Economou, G.; Fotopoulos, S.: Advanced leaf image retrieval via multidimensional embedding sequence similarity (MESS) method (2013) ioport
  15. Wu, Stephen Gang; Bao, Forrest Sheng; Xu, Eric You; Wang, Yuxuan; Chang, Yi-Fan; Xiang, Qiao-Liang: A leaf recognition algorithm for plant classification using probabilistic neural network (2007) ioport