Abstract：In order to solve the problems of low efficiency, strong subjectivity, high error rates and poor real time that when selecting the quality of Jatropha seeds by experience, the images of Jatropha seeds were analyzed by digital image processing technology in this paper. Aiming at the characteristics of Jatropha seeds images, the R,G,B color components by arithmetic were firsty fused, then the arithmetic results were processed for noise cancellation by morphological opening operation, the adaptive threshold selection method was used for these images which were converted into binary images according to the method of OTSU and the edge extraction of images was realized by way of LOG operator. The portion of Jatropha seeds morphology parameters with the procedure of image processing finally was also calculated and got. Compared with the artificial segmentation method, the experimenal results show that although the background segmentation of Jatropha seeds images produces certain errors because the Jatropha seeds which are irradiated by light generate unequal shaded area in various display modes, overall average error of segmentation is less than 0.63%, the maximum error is 1.07% and the mean square error σ is not over 0.006 4 in 90 images of Jatropha seeds. Above all, this algorithm can achieve the accurate and reliable background segmentation and parameter detection of Jatropha seeds images.
王焕昌, 杨启良*, 杨莹. 小桐子种子图像的背景分割与参数检测[J]. 排灌机械工程学报, 2018, 36(8): 713-718.
WANG Huanchang, YANG Qiliang*, YANG Ying. Background segmentation and parameter detection of Jatropha seeds images. Journal of Drainage and Irrigation Machinery Engin, 2018, 36(8): 713-718.
[1]杨启良,孙英杰,齐亚峰,等.不同水量交替灌溉对小桐子生长调控与水分利用的影响[J].农业工程学报,2012,28(18):121-126. YANG Qiliang,SUN Yingjie,QI Yafeng, et al. Effects of alternated different irrigation amount modes on growth regulation and water use of Jatropha curcas L. [J]. Transactions of the CSAE,2012, 28(18):121-126.(in Chinese)[2]SINGH R N, VYAS D K, SRIVASTAVA N S L, et al. SPRERI experience on holistic approach to utilize all parts of Jatropha curcas fruit for energy[J]. Renewable energy, 2008, 33: 1868-1873.[3]DHANYA M S, GUPTA N, JOSHI H C, et al. Biogas potentiality of agro-wastes Jatropha fruit coat[J]. International journal of environmental science and enginee-ring, 2009, 1(3):136-140.[4]ACHTEN W M J, MAES W H, AERTS R, et al. Jatropha: from global hype to local opportunity[J]. Journal of arid environments, 2010, 74(1): 164-165.[5]VINCENT L, SOILE P. Whatershed in digital spaces: an efficient algorithm based on immersion simulations[J]. IEEE transaction of pattern analysis and machine intelligence, 1991, 13(6): 583-598.[6]王福杰,饶秀勤,应义斌. 苹果图像的背景分割与目标提取[J].农业机械学报,2013,44(1): 196-210. WANG Fujie, RAO Xiuqin, YING Yibin. Background segmentation and object extraction of apples images[J].Transactions of the CSAM, 2013,44(1): 196-210.(in Chinese)[7]BLASCO J, ALEIXOS N. Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm [J]. Journal of food engineering, 2007, 81(3): 535-543.[8]OTSU N.Threshold selection method from gray-level histograms[J]. IEEE transactions on systems man and cybernetics,1979,9(1): 62-66.[9]任守纲,马超,谢忠红,等. 基于分水岭和梯度的蝴蝶兰图像分割方法[J]. 农业工程学报,2012,28(9): 125-129. REN Shougang,MA Chao,XIE Zhonghong,et al. Image segmentation algorithm for Phalaenopsis amabilis based on watershed algorithm and gradient[J]. Transactions of the CSAE, 2012,28(9):125-129.(in Chinese)[10]刁智华,王 欢,宋寅卯,等. 复杂背景下棉花病叶害螨图像分割方法[J]. 农业工程学报,2013,29(5):147-152. DIAO Zhihua, WANG Huan, SONG Yinmao, et al. Segmentation method for cotton mite disease image under complex background[J]. Transactions of the CSAE,2013, 29(5): 147-152.(in Chinese)
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