Abstract
An apple classification algorithm based on wavelet and fuzzy is proposed in order to get the edge of apple image accurately and realize apple automatic classification. Firstly, the apple image is transformed by omnidirectional wavelet, and then processed by fuzzy algorithm. The edge of the apple image is extracted by adaptive threshold, and then the area of the apple image is obtained by using the diffuse filling algorithm. Finally, according to the characteristics of the apple quasi circle, the area is transformed into the straight diameter, and the apple classification is completed according to the diameter. The simulation results show that the accuracy of the algorithm is more than 98% for three grades of apples, which shows that the algorithm can be used in the classification detection of apples.
Publication Date
4-28-2020
First Page
142
Last Page
145
DOI
10.13652/j.issn.1003-5788.2020.04.026
Recommended Citation
Li-ping, ZHAO and De-gang, WU
(2020)
"Research on apple classification algorithm based on wavelet and fuzzy,"
Food and Machinery: Vol. 36:
Iss.
4, Article 26.
DOI: 10.13652/j.issn.1003-5788.2020.04.026
Available at:
https://www.ifoodmm.cn/journal/vol36/iss4/26
References
[1] 王丹丹,宋怀波,何东健,等.苹果分级机器人视觉系统研究进展[J].农业工程学报,2017,33(11):59-69.
[2] 陈乾辉,吴德刚.一种新型苹果果实特征提取算法[J].食品与机械,2018,34(2):124-128.
[3] 于蒙,李雄,杨海潮,等.基于图像识别的苹果的等级分级研究[J].自动化与仪表,2019,34(7):39-43.
[4] 刁智华,刁春迎,袁万宾,等.基于改进型模糊边缘检测的小麦病斑阈值分割算法[J].农业工程学报,2018,34(10):147-145.
[5] 石瑞瑶,田有文,赖兴涛,等.基于机器视觉的苹果品质在线分级检测[J].中国农业科技导报,2018,20(3):80-86.
[6] 车敏,张红梅,拓明福,等.小波变换与边缘信息的光谱图像融合研究[J].激光杂志,2019,40(11):75-79.
[7] 赵新秋,秦昆阳,冯斌,等.基于模糊推理的边缘检测算法[J].中国测试,2018,44(5):1-5.
[8] MELIN P,GONZALEZ C I,CASTRO J R,et al.Edge-detection method for image processing based on generalized type-2 fuzzy logic[J].IEEE Transactions on Fuzzy Systems,2014,22(6):1 515-1 525.