Segmentation of Winter Wheat Canopy Image Based on Visual Spectral and Random Forest Algorithm
LIU Ya-dong, CUI Ri-xian*
College of Agronomy and Plant Protection, Qingdao Agricultural University, Shandong Provincial Key Laboratory of Dryland Farming Techniques, Qingdao 266109, China
Abstract：Digital image analysis has been widely used in non-destructive monitoring of crop growth and nitrogen nutrition status due to its simplicity and efficiency. It is necessary to segment winter wheat plant from soil background for accessing canopy cover, intensity level of visible spectrum (R, G, and B) and other color indices derived from RGB. In present study, according to the variation in R, G, and B components of sRGB color space and L*, a*, and b* components of CIEL*a*b* color space between wheat plant and soil background, the segmentation of wheat plant from soil background were conducted by the Otsu’s method based on a* component of CIEL*a*b* color space, and RGB based random forest method, and CIEL*a*b* based random forest method, respectively. Also the ability to segment wheat plant from soil background was evaluated with the value of segmentation accuracy. The results showed that all three methods had revealed good ability to segment wheat plant from soil background. The Otsu’s method had lowest segmentation accuracy in comparison with the other two methods. There were only little difference in segmentation error between the two random forest methods. In conclusion, the random forest method had revealed its capacity to segment wheat plant from soil background with only the visual spectral information of canopy image without any color components combinations or any color space transformation.
刘亚东，崔日鲜* . 基于可见光光谱和随机森林算法的冬小麦冠层图像分割 [J]. 光谱学与光谱分析, 2015, 35(12): 3480-3484.
LIU Ya-dong, CUI Ri-xian* . Segmentation of Winter Wheat Canopy Image Based on Visual Spectral and Random Forest Algorithm . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(12): 3480-3484.
[1] Y Li，D Chen，CN Walker，et al. Field Crops Research, 2010, 118(3): 221. [2] Kyu-Jong Lee, Lee B W. European Journal of Agronomy，2013，48：57. [3] WANG Gui-qin, ZHENG Li-min, ZHU Hong, et al(王桂琴，郑丽敏，朱 虹，等). Journal of Triticeae Crops(麦类作物学报), 2004, 4: 108. [4] ZHANG Yu-jin(章毓晋). Image Segmentation(图象分割). Beijing: Science Press(北京: 科学出版社), 2001. [5] LU Xiu-ming, HUANG Qing, SUN Xue-chen(陆秀明，黄 庆，孙雪晨，等). Chinese Agricultural Science Bulletin(中国农学通报), 2011, (03): 65. [6] Kyu-Jong Lee，Byun-Woo Lee. Journal of Crop Science and Biotechnology, 2011, 14(2): 151. [7] LI Ming, ZHANG Chang-li, FANG Jun-long(李 明，张长利，房俊龙). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2010, 1: 205. [8] Dave Coffin. Decoding raw digital photos in Linux. http://cybercom.net/~dcoffin/dcraw/, Referred，2014, 10. 10. [9] TIAN Yan, PENG Fu-yuan(田 岩，彭复员). Digital Image Processing and Analysis(数字图像处理与分析). Wuhan: Huazhong University of Science & Technology Press(武汉：华中科技大学出版社)，2009. 140. [10] Rafael C Gonzalez，Richard E Woods(冈萨雷兹，伍 兹). Digital Image Processing(数字图像处理). Beijing: Publishing House of Electronics Industry(北京：电子工业出版社), 2010. [11] Gareth James，Daniela Witten，Trevor Hastie，et al. An Introduction to Statistical Learning, in with Applications in R New York: Springer, 2013. [12] Trevor Hastie，Jerome Friedman，Robert Tibshirani. The Elements of Statistical Learning, in Data Mining, Inference, and Prediction New York: Springer, 2001. [13] LI Xu-qing, LIU Xiang-nan, LIU Mei-ling, et al(李旭青, 刘湘南, 刘美玲, 等). Journal of Remote Sensing(遥感学报), 2014, 18(4): 1993. [14] WU Xi-zhi(吴喜之). Statistics(统计学). Beijing: Higher Education Press (北京: 高等教育出版社, 2008). [15] Andy Liaw，Matthew Wiener. Classification and Regression by Random Forest. R News, 2002, 2: 18. [16] LI Yun-hong, QU Hai-tao(李云红，屈海涛). Digital Image Processing(数字图像处理). Beijing: Peking University Press(北京：北京大学出版社)，2012. 192. [17] LI Min-zan(李民赞). Spectral Analysis Technology and its Application(光谱分析技术及其应用). Beijing: Science Press(北京: 科学出版社), 2006. [18] LIU Ji-ping (刘吉平). Remote Sensing Principle and Remote Sensing Information Analysis(遥感原理及遥感信息分析基础). Wuhan: Wuhan University Press(武汉: 武汉大学出版社), 2012.
