Abstract：The quality of potato is directly related to their edible value and industrial value. Hollow heart of potato, as a physiological disease occurred inside the tuber, is difficult to be detected. This paper put forward a non-destructive detection method by using semi-transmission hyperspectral imaging with support vector machine (SVM) to detect hollow heart of potato. Compared to reflection and transmission hyperspectral image, semi-transmission hyperspectral image can get clearer image which contains the internal quality information of agricultural products. In this study, 224 potato samples (149 normal samples and 75 hollow samples) were selected as the research object, and semi-transmission hyperspectral image acquisition system was constructed to acquire the hyperspectral images (390~1 040 nm) of the potato samples, and then the average spectrum of region of interest were extracted for spectral characteristics analysis. Normalize was used to preprocess the original spectrum, and prediction model were developed based on SVM using all wave bands, the accurate recognition rate of test set is only 87.5%. In order to simplify the model competitive adaptive reweighed sampling algorithm (CARS) and successive projection algorithm (SPA) were utilized to select important variables from the all 520 spectral variables and 8 variables were selected (454，601，639，664，748，827，874 and 936 nm). 94.64% of the accurate recognition rate of test set was obtained by using the 8 variables to develop SVM model. Parameter optimization algorithms, including artificial fish swarm algorithm (AFSA)，genetic algorithm (GA) and grid search algorithm, were used to optimize the SVM model parameters: penalty parameter c and kernel parameter g. After comparative analysis, AFSA, a new bionic optimization algorithm based on the foraging behavior of fish swarm, was proved to get the optimal model parameter (c=10.659 1, g=0.349 7), and the recognition accuracy of 100% were obtained for the AFSA-SVM model. The results indicate that combining the semi-transmission hyperspectral imaging technology with CARS-SPA and AFSA-SVM can accurately detect hollow heart of potato, and also provide technical support for rapid non-destructive detecting of hollow heart of potato.
Key words：Hyperspectral imaging;Support Vector Machine;Artificial fish swarm algorithm;Hollow heart;Potato
黄 涛，李小昱*，徐梦玲，金 瑞，库 静，徐森淼，武振中 . 半透射高光谱成像技术与支持向量机的马铃薯空心病无损检测研究 [J]. 光谱学与光谱分析, 2015, 35(01): 198-202.
HUANG Tao, LI Xiao-yu*, XU Meng-ling, JIN Rui, KU Jing, XU Sen-miao, WU Zhen-zhong . Non-Destructive Detection Research for Hollow Heart of Potato Based on Semi-Transmission Hyperspectral Imaging and SVM . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(01): 198-202.
[1] Finney E E. Norris K H. American Potato Journal, 1978, 55(2): 95. [2] Elbatawi I E. Biosystems Engineering, 2008, 100(2): 206. [3] Dacal-Nieto A, Formella A, Carrión P, et al. Computer Analysis of Images and Patterns, Springer Berlin Heidelberg, 2011: 180. [4] GAO Hai-long, LI Xiao-yu, XU Sen-miao, et al(高海龙, 李小昱, 徐森淼, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2013, 29(15): 279. [5] ZHANG Wei, PAN Lei-qing, TU Kang(张 伟, 潘磊庆, 屠 康). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2012, 28(21): 149. [6] Lu R, Ariana D P. Postharvest Biology and Technology, 2013, 81: 44. [7] Li H, Liang Y, Xu Q, et al. Analytica Chimica Acta, 2009, 648(1): 77. [8] Araújo M C U, Saldanha T C B, Galvo R K H, et al. Chemometrics and Intelligent Laboratory Systems, 2001, 57(2): 65. [9] TIAN Hai-lei, LI Hong-ru, XU Bao-hua(田海雷, 李洪儒, 许葆华). Computer Engineering(计算机工程), 2013, 39(4): 222. [10] LIU Lu, WANG Tai-yong(刘 路, 王太勇). Journal of Tianjin University(天津大学学报), 2011, 44(9): 803. [11] WU Jing-long, YANG Shu-xia, LIU Cheng-shui(吴景龙，杨淑霞，刘承水). Journal of Central South University·Science and Technology(中南大学学报·自然科学版)，2009, 40(1): 180. [12] WANG Xing-ling, LI Zhan-bin(王兴玲, 李占斌). Periodical of Ocean University of China(中国海洋大学学报). 2005, 35(5): 859. [13] LI Xiao-lei, SHAO Zhi-jiang, QIAN Ji-xin(李晓磊, 邵之江, 钱积新). Systems Engineering—Theory & Practice(系统工程理论与实践). 2002, 22(11): 32. [14] HU Zhong-gong, LI Jing(胡中功, 李 静). Control Theory and Applications(控制理论与应用)，2008, 27(2): 13. [15] LI Xiao-lei, LU Fei, TIAN Guo-hui, et al(李晓磊, 路 飞, 田国会, 等). Journal of Shangdong University·Engineering Science(山东大学学报·工学版)，2004, 34(5): 64.
