Automated inspection system for colour and shape grading of starfruit (Averrhoa carambola L.) using machine vision sensor

被引:23
作者
Abdullah, MZ
Fathinul-Syahir, AS
Mohd-Azemi, BMN
机构
[1] Univ Sains Malaysia, Sch Elect & Elect Engn, George Town 14300, Malaysia
[2] Univ Sains Malaysia, Sch Ind & Food Technol, George Town 11800, Malaysia
关键词
automated inspection; carambola starfruit; discriminant analysis; Fourier; machine vision grading; Wilks' lambda;
D O I
10.1191/0142331205tm138oa
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A prototype machine vision station was developed for quality grading of the unique star shape and rich golden colour carambola fruits (Averrhoa carambola L.). The grading criteria were based on the Malaysia's Federal Agriculture Marketing Authority standards for starfruits export. A Fourier-based shape separations method was developed for shape grading, whereas colour recognition was established using multivariate discriminant analysis. The Wilks' lambda analysis was invoked to transform and compress the data set comprising of large number of interconnected variates to a reduced set of variates. A robust scaling normalization was introduced in order to achieve invariant to geometrical transformations. Over 200 starfruit samples were inspected by the machine vision system and the results were compared to human judgement. Overall, the vision system was able to classify correctly 100% of the starfruits for shape and 92% for colour. Since the algorithms were implemented in software, the system could be programmed to inspect other fruits and agriculture commodities.
引用
收藏
页码:65 / 87
页数:23
相关论文
共 22 条
[1]   Discrimination and classification of Eurycoma longifolia Jack in medicinal foods by means of a DSP-based electronic taste sensor [J].
Abdullah, MZ ;
Rahman, ASA ;
Shakaff, AYM ;
Noor, AM .
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2004, 26 (01) :19-39
[2]   Stepwise discriminant analysis for colour grading of oil palm using machine vision system [J].
Abdullah, MZ ;
Guan, LC ;
Azemi, BMNM .
FOOD AND BIOPRODUCTS PROCESSING, 2001, 79 (C4) :223-231
[3]  
[Anonymous], FDN MULTIVARIATE ANA
[4]   A COLOR CLUSTERING TECHNIQUE FOR IMAGE SEGMENTATION [J].
CELENK, M .
COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1990, 52 (02) :145-170
[5]  
GOMBAR VK, 1991, CHEM ENV STUDIES, P377
[6]  
Gonzalez R., 2019, Digital Image Processing, V2nd
[7]  
Heinemann P. H., 1995, Applied Engineering in Agriculture, V11, P901
[8]  
Heinemann PH, 1996, MACH VISION APPL, V9, P14, DOI 10.1007/BF01246635
[9]  
IZHAM A, 1992, GUIDELINES STARFRUIT, P16
[10]   Fruit maturity, ripening, and quality relationships [J].
Kader, AA .
INTERNATIONAL SYMPOSIUM ON EFFECT OF PREHARVEST AND POSTHARVEST FACTORS ON STORAGE OF FRUIT, 1999, (485) :203-208