Review of Plant Identification Based on Image Processing

Archives of Computational Methods in Engineering

Volumn 24, Issue 3, 2017, Pages 637-654

  Wang, Zhaobin ^a   Li, Huale ^a   Zhu, Ying ^b   Xu, TianFang ^a  

^a LANZHOU UNIVERSITY   (China)

^b Gansu Academy of Sciences   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; PATTERN RECOGNITION;

AUTOMATIC IDENTIFICATION; AUTOMATIC RECOGNITION; COMPUTER IMAGE PROCESSING; PATTERN RECOGNITION TECHNOLOGIES; PLANT IDENTIFICATION; PLANT RECOGNITION; RESEARCH AND ANALYSIS; RESEARCH SIGNIFICANCES;

IMAGE PROCESSING;

EID: 84979231126     PISSN: 11343060     EISSN: 18861784     Source Type: Journal    
DOI: 10.1007/s11831-016-9181-4     Document Type: Article

References (86)

1. Saitoh T, Kaneko T (2000) Automatic recognition of wild flowers. In: Proceedings 15th international conference on pattern recognition, pp 507–510
2. Wu Q, Zhou C, Wang C (2006) Feature extraction and automatic recognition of plant leaf using artificial neural network. Adv Artif Intell 3–10
3. Wu SG, Bao FS, Xu EY, Wang Y-X, Chang Y-F, Xiang Q-L (2007) A leaf recognition algorithm for plant classification using probabilistic neural network. In: 2007 IEEE international symposium on signal processing and information technology, pp 11–16
4. Du J-X, Wang X-F, Zhang G-J (2007) Leaf shape based plant species recognition. Appl Math Comput 185:883–893
5. Singh K, Gupta I, Gupta S (2010) Svm-bdt pnn and fourier moment technique for classification of leaf shape. Int J Signal Process Image Process Pattern Recognit 3:67–78
6. Hossain J, Amin MA (2010) Leaf shape identification based plant biometrics. In: 2010 13th international conference on computer and information technology (ICCIT), pp 458–463
7. Shabanzade M, Zahedi M, Aghvami SA (2011) Combination of local descriptors and global features for leaf recognition. Signal Image Process Int J 2:23–31
8. Lee K-B, Chung K-W, Hong K-S (2013) An implementation of leaf recognition system. ed: ISA, ASTL Vol 21, pp 152–155
9. Lee K-B, Hong K-S (2012) Advanced leaf recognition based on leaf contour and centroid for plant classification. In: The 2012 international conference on information science and technology, pp 133–135
10. Yelin H, Zhengyu C, Junhua Q (2012) Classification of leaf shapes and estimation of leaf mass. In: 2012 international conference on green and ubiquitous technology (GUT), pp 167–171
11. Watcharabutsarakham S, Sinthupinyo W, Kiratiratanapruk K (2012) Leaf classification using structure features and Support Vector Machines. In: 2012 6th international conference on new trends in information science and service science and data mining (ISSDM), pp 697–700
12. Uluturk C, Ugur A (2012) Recognition of leaves based on morphological features derived from two half-regions. In: 2012 international symposium on innovations in intelligent systems and applications (INISTA), pp 1–4
13. Kadir A, Nugroho LE, Santosa PI (2012) Experiments of Zernike moments for leaf identification. J Theor Appl Inf Technol 41(1):82–93
14. Kadir A, Nugroho LE, Susanto A, Santosa PI (2013) Leaf classification using shape, color, and texture features. arXiv preprint arXiv:1401.4447
15. Janani R, Gopal A (2013) Identification of selected medicinal plant leaves using image features and ANN. In: 2013 international conference on advanced electronic systems (ICAES), pp 238–242
16. Harish B, Hedge A, Venkatesh O, Spoorthy D, Sushma D (2013) Classification of plant leaves using Morphological features and Zernike moments. In: 2013 international conference on advances in computing, communications and informatics (ICACCI), pp 1827–1831
17. Kulkarni A, Rai H, Jahagirdar K, Kadkol R (2013) A leaf recognition system for classifying plants using RBPNN and pseudo Zernike moments. Int J Latest Trends Eng Technol 2:1–11
18. Kulkarni A, Rai H, Jahagirdar K, Upparamani P (2013) A leaf recognition technique for plant classification using RBPNN and Zernike moments. Int J Adv Res Comput Commun Eng 2:984–988
19. Arunpriya C, Thanamani AS (2014) A novel leaf recognition technique for plant classification. Int J Comput Eng Appl 4:42–55
20. Elhariri E, El-Bendary N, Hassanien AE (2014) Plant classification system based on leaf features. In: 2014 9th international conference on computer engineering and systems (ICCES), pp 271–276
21. Bijalwan P, Mittal R, Choudhary S, Bajaj S, Khanna N (2014) Stability analysis of classifiers for leaf recognition using shape features. In: 2014 international conference on communications and signal processing (ICCSP), pp 657–661
22. Zhao Z, Huang X, Yang G (2015) Plant recognition based on leaf and bark images⋆. J Comput Inf Syst 11:857–864
23. Ghasab MAJ, Khamis S, Mohammad F, Fariman HJ (2015) Feature decision-making ant colony optimization system for an automated recognition of plant species. Expert Syst Appl 42:2361–2370
24. Gaber ATT, Snasel V, Hassanien AE (2015) Plant identification: two dimensional-based vs. one dimensional-based feature extraction methods. In: 10th international conference on soft computing models in industrial and environmental applications, pp 375–385
25. Wang Z, Sun X, Zhang Y, Ying Z, Ma Y (2015) Leaf recognition based on PCNN. Neural Comput Appl 27(4):899–908
26. Aakif A, Khan MF (2015) Automatic classification of plants based on their leaves. Biosyst Eng 139:66–75
27. Lagerwall R, Viriri S (2011) Plant classification using leaf recognition. In: 22nd annual symposium of the Pattern Recognition Association of South Africa, pp 91–95
28. Mishra PK, Maurya SK, Singh RK, Misra AK (2012) A semi automatic plant identification based on digital leaf and flower images. In: 2012 international conference on advances in engineering, science and management (ICAESM), pp 68–73
29. Kadir A, Nugroho LE, Susanto A, Santosa PI (2011) Foliage plant retrieval using polar fourier transform, color moments and vein features. arXiv preprint arXiv:1110.1513
30. Ahmed F, Al-Mamun HA, Bari AH, Hossain E, Kwan P (2012) Classification of crops and weeds from digital images: a support vector machine approach. Crop Prot 40:98–104
31. Kadir A, Nugroho LE, Susanto A, Santosa PI (2012) Performance improvement of leaf identification system using principal component analysis. Int J Adv Sci Technol 44:113–124
32. Kadir A, Nugroho LE, Susanto A, Santosa PI (2013) Experiments of distance measurements in a foliage plant retrieval system. arXiv preprint arXiv:1401.3584
33. Amlekar M, Manza RR, Yannawar P, Gaikwad AT (2014) Leaf features based plant classification using artificial neural network. IBMRD’s J Manag Res 3:224–232
34. Kalyoncu C, Toygar Ö (2014) Geometric leaf classification. Comput Vis Image Underst 133:102–109
35. Hall D, McCool C, Dayoub F, Sunderhauf N, Upcroft B (2015) Evaluation of features for leaf classification in challenging conditions In: 2015 IEEE winter conference on applications of computer vision (WACV). IEEE Computer Society, pp 797–804
36. Narayan V, Subbarayan G (2014) An optimal feature subset selection using GA for leaf classification. Ratio 1388:885.193
37. Valliammal N, Geethalakshmi S (2012) An optimal feature subset selection for leaf analysis. Int J Comput Commun Eng 6:192–193
38. Wang X-F, Huang D-S, Du J-X, Xu H, Heutte L (2008) Classification of plant leaf images with complicated background. Appl Math Comput 205:916–926
39. Chaki J, Parekh R (2011) Plant leaf recognition using shape based features and neural network classifiers. Int J Adv Comput Sci Appl 2
40. Chaki J, Parekh R (2012) Designing an automated system for plant leaf recognition. Int J Adv Eng Technol 2:149–158
41. Chaki J, Parekh R, Bhattacharya S (2015) Plant leaf recognition using texture and shape features with neural classifiers. Pattern Recogn Lett 58:61–68
42. Wang Z, Sun X, Ma Y, Zhang H (2014) Plant recognition based on intersecting cortical model. Int Jt Conf Neural Netw 975–980
43. Kadir A, Nugroho LE, Susanto A, Santosa PI (2013) Neural network application on foliage plant identification. arXiv preprint arXiv:1311.5829
44. Zhang S, Feng Y (2010) Plant leaf classification using plant leaves based on rough set. In: 2010 international conference on computer application and system modeling (ICCASM), pp V15-521–V15-525
45. Al Bashish D, Braik M, Bani-Ahmad S (2010) A framework for detection and classification of plant leaf and stem diseases. In: 2010 international conference on signal and image processing, pp 113–118
46. Sathwik T, Yasaswini R, Venkatesh R, Gopal A (2013) Classification of selected medicinal plant leaves using texture analysis. In: Fourth international conference on computing, communications and networking technologies, pp 1–6
47. Abirami S, Ramalingam V, Palanivel S (2014) Species classification of aquatic plants using GRNN and BPNN. AI Soc 29:45–52
48. Song X, Li Y, Chen W (2008) A textural feature-based image retrieval algorithm. In: International conference on natural computation, pp 71–75
49. Tang Z, Su Y, Meng JE, Qi F, Zhang L, Zhou J (2015) A local binary pattern based texture descriptors for classification of tea leaves. Neurocomputing 168:1011–1023
50. Pydipati R, Burks T, Lee W (2006) Identification of citrus disease using color texture features and discriminant analysis. Comput Electron Agric 52:49–59
51. Ma Y, Dai R, Li L, Wei L (2002) Image segmentation of embryonic plant cell using pulse-coupled neural networks. Chin Sci Bull 47:169–173
52. Nilsback ME, Zisserman A (2008) Automated flower classification over a large number of classes. In: Indian conference on computer vision, pp 722–729
53. Xiao XY, Hu R, Zhang SW, Wang XF (2010) HOG-based approach for leaf classification. Springer, Berlin, Heidelberg
54. Xia Q, Zhu HD, Gan Y, Shang L (2014) Plant leaf recognition using histograms of oriented gradients. In: 10th international conference on intelligent computing, ICIC 2014, Taiyuan, China, August 3–6, 2014, pp 369–374
55. http://flavia.sourceforge.net/. 2009
56. Zhang J, Zhang W (2010) Support vector machine for recognition of cucumber leaf diseases. In: 2010 2nd international conference on advanced computer control (ICACC), pp 264–266
57. Tian Y, Zhao C, Lu S, Guo X (2011) Multiple classifier combination for recognition of wheat leaf diseases. Intell Autom Soft Comput 17:519–529
58. Prasad S, Kudiri KM, Tripathi RC (2011) Relative sub-image based features for leaf recognition using support vector machine. In: International conference on communication, computing and security, icccs 2011, Odisha, India, pp 343–346
59. Gang SM, Yoon SM, Lee JJ (2014) Plant leaf classification using orientation feature descriptions. J Korea Multimed Soc 17(3):300–311
60. Hsiao J-K, Kang L-W, Chang C-L, Lin C-Y (2014) Comparative study of leaf image recognition with a novel learning-based approach. Sci Inf Conf (SAI) 2014:389–393
61. Le T-L, Tran D-T, Pham N-H (2014) Kernel descriptor based plant leaf identification. In: 2014 4th international conference on image processing theory, tools and applications (IPTA), pp 1–5
62. Chathura Priyankara HA, Withanage DK (2015) Computer assisted plant identification system for Android. In: Moratuwa engineering research conference, pp 148–153
63. Kazerouni MF, Schlemper J, Kuhnert K-D (2015) Comparison of modern description methods for the recognition of 32 plant species. Signal Image Process 6:1
64. Quadri AT, Sirshar M (2015) Leaf recognition system using multi-class kernel support vector machine. Int J Comput Commun Syst Eng (IJCCSE) 2(2):260–263
65. Fiel S, Sablatnig R (2010) Leaf classification using local features. In: Workshop of the Austrian Association for Pattern Recognition, pp 69–74
66. Wang Z, Lu B, Chi Z, Feng D (2011) Leaf image classification with shape context and SIFT descriptors. In: International conference on digital image computing: techniques and applications, pp 650–654
67. Guan-Lin LI, Zhan-Hong MA, Wang HG (2012) Image recognition of wheat stripe rust and wheat leaf rust based on support vector machine. J China Agric Univ 17:72–79
68. Bama BS, Valli SM, Raju S, Kumar VA (2011) Content based leaf image retrieval (CBLIR) using shape, color and texture features. Indian J Comput Sci Eng 2:202–211
69. Zhang S, Lei Y-K (2011) Modified locally linear discriminant embedding for plant leaf recognition. Neurocomputing 74:2284–2290
70. Zhang S, Lei Y, Dong T, Zhang X-P (2013) Label propagation based supervised locality projection analysis for plant leaf classification. Pattern Recogn 46:1891–1897
71. ICL. http://www.intelengine.cn/English/dataset/index.html
72. Amin AHM, Khan AI (2013) One-shot classification of 2-D leaf shapes using distributed hierarchical graph neuron (DHGN) scheme with k-NN classifier. Proc Comput Sci 24:84–96
73. Du J-X, Zhai C-M, Wang Q-P (2013) Recognition of plant leaf image based on fractal dimension features. Neurocomputing 116:150–156
74. Nidheesh P, Rajeev A, Nikesh P (2015) Classification of leaf using geometric features. Int J Eng Res Gen Sci 3(2):1185–1190
75. Wu H, Wang L, Zhang F, Wen Z (2015) Automatic leaf recognition from a big hierarchical image database. Int J Intell Syst 30:871–886
76. Zhang C, Zhang S, Fang W (2016) Plant leaf recognition through local discriminative tangent space alignment. J Electr Comput Eng 2016:1–5
77. Naresh YG, Nagendraswamy HS (2015) Classification of medicinal plants: an approach using modified LBP with symbolic representation. Neurocomputing 173(2016):1789–1797
78. Wang X, Liang J, Guo F (2014) Feature extraction algorithm based on dual-scale decomposition and local binary descriptors for plant leaf recognition. Digit Signal Proc 34:101–107
79. Pednekar V, Chavan H (2010) A geometrical feature classified leaf recognition algorithm using probabilistic neural network. In: International conference and workshop on emerging trends in technology, pp 1022–1022
80. Mahdikhanlou K, Ebrahimnezhad H (2014) Plant leaf classification using centroid distance and axis of least inertia method. In: 2014 22nd Iranian conference on electrical engineering (ICEE), pp 1690–1694
81. Hasim A, Herdiyeni Y, Douady S (2016) Leaf shape recognition using centroid contour distance. In: IOP conference series: earth and environmental science, p 012002
82. Husin Z, Shakaff A, Aziz A, Farook R, Jaafar M, Hashim U et al (2012) Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm. Comput Electron Agric 89:18–29
83. Kruse OMO, Prats-Montalbán JM, Indahl UG, Kvaal K, Ferrer A, Futsaether CM (2014) Pixel classification methods for identifying and quantifying leaf surface injury from digital images. Comput Electron Agric 108:155–165
84. Lei YK, Zou JW, Dong T, You ZH, Yuan Y, Hu Y (2014) Orthogonal locally discriminant spline embedding for plant leaf recognition ☆. Comput Vis Image Underst 119:116–126
85. Jassmann TJ, Tashakkori R, Parry RM (2015) Leaf classification utilizing a convolutional neural network. In: SoutheastCon
86. Eid HF, Hassanien AE, Kim T-H (2015) Leaf plant identification system based on Hidden Naïve bays classifier. In: International conference on advanced information technology and sensor application, pp 76–79