Computer vision performance metrics evaluation of object detection based on Haar-like, HOG and LBP features for scale-invariant lettuce leaf area calculation
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2019-02-26 
https://doi.org/10.14419/ijet.v7i4.26071
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Haar-Like, HOG, LBP Features, Lettuce Leaf Area, Scale Invariance, Viola-Jones Algorithm. -
Leaf area can be used as a growth parameter as such it increases as the stage of lettuce progresses. Consideration of scale invariance in estimating the area poses challenging machine vision problems in a smart farm setup. To address this, a marker with a known area is utilized for the system for normalizing area measurements. This study proposes an automated object detection (marker) using Viola-Jones algorithm that uses Haar-like, HOG and LBP features. Performances of the system using each feature at varying illuminations and distances are then compared. Based on the result of this study, the highest performance in general, based on accuracy, precision, and false positive rate is achieved using HOG features.
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References
[1] R. K. Kodali, V. Jain and S. Karagwal, "IoT based smart greenhouse," in Proceedings of 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 2016. https://doi.org/10.1109/R10-HTC.2016.7906846.
[2] F. Xinyan, K. Kensuke, G. Wei, D. X. Tran, L. Jihyun, Y. Norio, K. Yuzo, O. Taketo, L. Renlong, T. Yoshimasa, Y. Taisuke and W. Zuomin, "A simple visible and near-infrared (V-NIR) camera system for monitoring the leaf area index and growth stage of Italian ryegrass,," Computers and Electronics in Agriculture, vol. 144, pp. 314-323, 2018. https://doi.org/10.1016/j.compag.2017.11.025.
[3] A. Rajput, S. Rajput and G. Jha, ""Physiological Parameters Leaf Area Index, Crop Growth Rate, Relative Growth Rate and Net Assimilation Rate of Different Varieties of Rice Grown Under Different Planting Geometries and Depths in SRI,"," International Journal of Pure and Applied Bioscience, vol. 5, no. 1, pp. 362-267, 2017. https://doi.org/10.18782/2320-7051.2472.
[4] Q. Xie, W. Huang, D. Liang, P. Chen, C. Wu, G. Yang, J. Zhang, L. Huang and D. Zhang, "Leaf Area Index Estimation Using Vegetation Indices Derived from Airborne Hyperspectral Images in Winter Wheat," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 8, pp. 3586-3594, 2014. https://doi.org/10.1109/JSTARS.2014.2342291.
[5] R. R. Fang Y., "Current and prospective methods for plant disease detection," Biosensors, vol. 5, no. 3, pp. 537-561, 2015. https://doi.org/10.3390/bios5030537.
[6] D. Fernandez-Pacheco, D. Escarabajal-Henarejos, A. Ruiz-Canales, J. Conesa and J. Molina-Martinez, "A digital image-processing-based method for determining the crop coefficient of lettuce crops in the southeast of Spain," Biosyst. Eng., vol. 117, pp. 23-34, 2014. https://doi.org/10.1016/j.biosystemseng.2013.07.014.
[7] N. Bumgarner, W. Miller and M. Kleinhenz, "Digital image analysis to supplement direct measures of lettuce biomass," HortTechnology, vol. 22, no. 4, pp. 547-555, 2012. https://doi.org/10.21273/HORTTECH.22.4.547.
[8] C. Shi-Gang, L. Heng, W. Xing-Li, Z. Yong-Li and H. Lin, "Study on segmentation of lettuce image based on morphological reorganization and watershed algorithm," Proceedings of 2018 Chinese Control and Decision Conference (CCDC), 2018. https://doi.org/10.1109/CCDC.2018.8408290.
[9] P. Srivastava & A. Khare “Content-based image retrieval using scale invariant feature transform and momentsâ€, Proceedings of 2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON), pp. 162 – 166, 2016. https://doi.org/10.1109/UPCON.2016.7894645.
[10] W. G. Aguilar, M. A. Luna, J. F. Moya, V.Abad, H. Parra, H. Ruiz, “Pedestrian detection for UAVs using cascade classifiers with meanshiftâ€, Proceedings of 2017 IEEE 11th International Conference on Semantic Computing, 2017. https://doi.org/10.1109/ICSC.2017.83.
[11] M. Nehru & S. Padmavathi, “Illumination invariant face detection using viola jones algorithmâ€, Proceedings of 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS) , pp. 1-4, 2017. https://doi.org/10.1109/ICACCS.2017.8014571.
[12] D. Djamaluddin et. al, “The simulation of vehicle counting system for traffic surveillance using Viola Jones methodâ€, 2014 Makassar Proceedings of International Conference on Electrical Engineering and Informatics (MICEEI), pp. 130-135, 2014. https://doi.org/10.1109/MICEEI.2014.7067325.
[13] A. Anchit & S. Mathur, “Comparative analysis of Haar and Skin color method for face detectionâ€, Proceedings of International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), pp. 1 – 5, 2014. https://doi.org/10.1109/ICRAIE.2014.6909143.
[14] M. Sonka, V. Hlavac,, R. Boyle, Image Processing, Analysis, and Machine Vision, Cengage Learning, pp. 509-510, 2015.
[15] M. Sonka, V. Hlavac, R. Boyle, Image Processing, Analysis, and Machine Vision, Cengage Learning, pp. 757-759, 2015.
[16] Heirloom, ""How to Grow Loose Leaf Lettuce,"," 2017. Available online: http://www.heirloomorganics.com/guide/va/1/guidetogrowinglooseleaflettuce.html. last visit:18.01.2019.
[17] S. Ervural and M. Ceylan, "Increasing lesion specificity with fusion of manually and automatically segmented liver MR images," Proceedings of 2018 26th Signal Processing and Communications Applications Conference (SIU), 2018. https://doi.org/10.1109/SIU.2018.8404559.
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How to Cite
James Loresco, P., Bandala, A., Culaba, A., & Dadios, E. (2019). Computer vision performance metrics evaluation of object detection based on Haar-like, HOG and LBP features for scale-invariant lettuce leaf area calculation. International Journal of Engineering & Technology, 7(4), 4866-4872. https://doi.org/10.14419/ijet.v7i4.26071
