1 |
J. Waldchen, M. Rzanny, M. Seeland, P. Mader, "Automated plant species identification-Trends and future directions," PLoS computational biology, vol. 14, no. 4, pp. 1-19, 2018.
|
2 |
D. Shreya, "How many plant species are there in the world? Scientists now have an answer," MONGABAY NEWS AND INSPIRATION FROM NATURE'S FRONTLINE, May 12, 2016, news.mongabay.com/2016/05/many-plants-world-scientists-may-now-answer/
|
3 |
S. G. Wu, F. S. Bao, E. Y. Xu, Y.-X. Wang, Y.-F. Chang, Q.-L. Xiang, "A leaf recognition algorithm for plant classification using probabilistic neural network," In Proceedings of 2007 IEEE International Symposium on Signal Processing and Information Technology, pp. 11-16, 2007.
|
4 |
N. Valliammal, S. N. Geethalakshmi, "Automatic recognition system using preferential image segmentation for leaf and flower images," Computer Science & Engineering, vol. 1, no. 4, pp. 13-25, 2011.
|
5 |
N. Kumar, P. N. Belhumeur, A. Biswas, D. W. Jacobs, W. J. Kress, I. Lopez, J. V. B. Soares, "Leafsnap: A computer vision system for automatic plant species identification," In Proceedings of European Conference on Computer Vision, pp. 502-516, 2012.
|
6 |
J. Hossain, M. A. Amin, "Leaf shape identification- based plant biometrics," In Proceedings of 13th International Conference on Computer and Information Technology (ICCIT), pp. 458-463, 2010.
|
7 |
Z. Wang, B. Lu, Z. Chi, D. Feng, "Leaf image classification with shape context and sift descriptors," In Proceedings of 2011 International Conference on Digital Image Computing: Techniques and Applications, pp. 650-654, 2011.
|
8 |
C. A. Priya, T. Balasaravanan, A. S. Thanamani. "An efficient leaf recognition algorithm for plant classification using support vector machine," In Proceedings of International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012), pp. 428-432, 2012.
|
9 |
S. Mouine, I. Yahiaoui, A. Verroust-Blondet, "A shape-based approach for leaf classification using multiscale triangular representation," In Proceedings of the 3rd ACM conference on International conference on multimedia retrieval, pp. 127-134, 2013.
|
10 |
N.-H. Pham, T.-L. Le, P. Grard, V.-N. Nguyen, "Computer aided plant identification system," In Proceedings of 2013 International Conference on Computing, Management and Telecommunications (ComManTel), pp. 134-139, 2013.
|
11 |
Z. Wang, X. Sun, Y. Ma, H. Zhang, Y. Ma, W. Xie, Z. Wang, Y. Zhang, "Plant recognition based on intersecting cortical model," In Proceedings of 2014 International Joint Conference on Neural Networks (IJCNN), pp. 975-980, 2014.
|
12 |
S. H. Lee, C. S. Chan, P. Wilkin, P. Remagnino, "Deep-plant: Plant identification with convolutional neural networks," in Proceedings of the 2015 IEEE International Conference on Image Processing (ICIP), pp. 452-456, 2015.
|
13 |
N. Ahmed, U. G. Khan, S. Asif, "An Automatic Leaf Based Plant Identification System," Science International, vol. 28, no.1, pp. 427-434, 2016.
|
14 |
J. Waldchen, P. Mader, "Plant species identification using computer vision techniques: A systematic literature review," Archives of Computational Methods in Engineering, vol. 25, no. 2, pp. 507-543, 2018.
DOI
|
15 |
M. A. J. Ghasab, S. Khamis, F. Mohammad, H. J. Fariman, "Feature decision-making ant colony optimization system for an automated recognition of plant species," Expert Systems with Applications, vol. 42, no.5, pp. 2361-2370, 2015.
DOI
|
16 |
A. Aakif, M. F. Khan, "Automatic classification of plants based on their leaves," Biosystems Engineering, vol. 139, pp. 66-75, 2015.
DOI
|
17 |
A. Begue, V. Kowlessur, F. Mahomoodally, U. Singh, S. Pudaruth, "Automatic recognition of medicinal plants using machine learning techniques," Int. J. Adv. Comput. Sci. Appl, vol. 8, no. 4, pp. 166-175, 2017.
|
18 |
V. Satti, A. Satya, S. Sharma. "An automatic leaf recognition system for plant identification using machine vision technology," International Journal of Engineering Science and Technology (IJEST), vol. 5, no. 4 pp. 874-879, 2013.
|
19 |
M. M. Amlekar, A. T. Gaikwad, "Plant Classification Using Image Processing and Neural Network," Data Management, Analytics and Innovation, vol. 839, pp. 375-384, 2018.
|
20 |
O. J. O. Soderkvist, "Computer vision classifcation of leaves from swedish trees," Master's Thesis, Linkoping University, Department of Electrical Engineering, Sweden, 2001.
|
21 |
D. J. Bora, "Importance of image enhancement techniques in color image segmentation: a comprehensive and comparative study," arXiv preprint arXiv:1708.05081, 2017.
|
22 |
imadjust, https://in.mathworks.com/help/images/ref/imadjust.html
|
23 |
Texture Feature Extraction, http://shodhganga.inflibnet.ac.in/bitstream/10603/24460/9/09_chapter4.pdf
|
24 |
R. Pichumani, "Segmentation," July 1997, http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/RAMANI1/node18.html
|
25 |
Image segmentation techniques, http://shodhganga.inflibnet.ac.in/bitstream/10603/50846/10/10_chapter%203.pdf
|
26 |
P. Mohanaiah, P. Sathyanarayana, L. GuruKumar, "Image texture feature extraction using GLCM approach," International Journal of Scientific and Research Publications, vol. 3, no. 5, pp. 1-5, 2013.
|
27 |
Using a Gray-Level Co-Occurrence Matrix (GLCM), http://matlab.izmiran.ru/help/toolbox/images/enhanc15.html
|
28 |
B. E. Boser, I. M. Guyon, V. N. Vapnik, "A training algorithm for optimal margin classifiers," In Proceedings of the fifth annual workshop on Computational learning theory, pp. 144-152, 1992.
|
29 |
R. M. Haralick, "Statistical and structural approaches to texture," Proceedings of the IEEE, vol. 67, no. 5, pp. 786-804, 1979.
DOI
|
30 |
R. O. Duda, P. E. Hart, D. G. Stork, Pattern classification and scene analysis. New York: Wiley, 1973.
|
31 |
V. Jakkula, "Tutorial on support vector machine (svm)," School of EECS, Washington State University, 2006.
|
32 |
M. K. Satya, N.K.K. Rao, K.K. Raju, G.P.S. Varma, "Pixel-based classification using support vector machine classifier," In Proceedings of 2016 IEEE 6th International Conference on Advanced Computing (IACC), pp. 51-55, 2016.
|
33 |
F. F. Chamasemani, Y. P. Singh, "Multi-class support vector machine (SVM) classifiers an application in hypothyroid detection and classification," In Proceedings of 2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications, pp. 351-356, 2011.
|
34 |
Noah Keen, "Color Moments" February 2005; http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/AV0405/KEEN/av_as2_nkeen.pdf
|