Online automatic grading of salted eggs based on machine vision
Keywords:
salted egg, automatic grading, image processing, machine vision, nondestructive detectionAbstract
The quality of salted eggs differs in curing process. They need to be tested and graded before factory packaging. The dynamic images of salted eggs were acquired on conveyor. Firstly, preprocessing of color images must be done: the target area of the binary image was determined by mathematical morphology and removal of the object of a small area. According to the binary image is a convex or concave figure, the target region light leaked or not was determined. The effects of leaked region were eliminated by searching for mutation points, fitting salted egg boundary by the Least Square algorithm, labeling the binary image and extracting single target area. Then, six characteristic parameters were extracted in color space, and quality testing model was established by minimum error probability. The experimental results indicated that the detection accuracy reached above 93% and classification efficiency was 5400/h. It proved the model is feasible for salted egg grading. DOI: 10.3965/j.ijabe.20150801.005 Citation: Xu K R, Lu X, Wang Q H, Ma M H. Online automatic grading of salted eggs based on machine vision. Int J Agric & Biol Eng, 2015; 8(1): 35-41.References
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[2] Omid M, Soltani M, Dehrouyeh M H, Mohtasebi S S, Ahmadi H. An expert egg grading system based on machine vision and artificial intelligence techniques. Journal of Food Engineering, 2013; 118: 70–77.
[3] Li Y, Dhakal S, Peng Y. A machine vision system for identification of micro-crack in egg shell. Journal of Food Engineering, 2012; 109: 127–134.
[4] Elster R T, Goodrum J W. Detection of cracks in eggs using machine vision. Transactions of the ASAE, 1991; 34: 307–312.
[5] Feng Q C, Cheng W, Zhou J J, Wang X. Design of structured-light vision system for tomato harvesting robot. Int J Agric & Biol Eng, 2014; 7(2): 19–26.
[6] Liao M X, Zhu D H. Prelimimary exploring of maturation mechanism of salted eggs during salting process. Science and Technology of Food Industry, 2008; 4: 324–326. (in Chinese with English abstract)
[7] Hand L W, Terrell R N, Smith G C. Effects of chloride salts on physical, chemical and sensory properties of frankfurters. Journal of Food Science, 1982; 47: 1800–1802.
[8] Wang X, Gao Z, Xiao H, Wang Y, Bai J. Enhanced mass transfer of osmotic dehydration and changes in microstructure of pickled salted egg under pulsed pressure. Journal of Food Engineering, 2013; 117: 141–150.
[9] Rong J H, Zhang Z M, Han X, Xiong S B. Dynamic Analysis on Quality of Salted Eggs in Pickling Process. Journal of Huazhong Agriculture University, 2007; 25: 676–678. (in Chinese with English abstract)
[10] Li X R, Chen H H. Study on the new model pickling method of salted eggs. Food Science and Technology, 2008; 2: 62–65. (in Chinese with English abstract)
[11] Chang Y C, Reid J F. Characterization of a color vision system. Transactions of the ASAE, 1996; 39: 263–273.
[12] Han X W, Yang Z, Li Y P, Xu X H. A method for color image segmentation based on color similarity coefficient. Journal of Shenyang University, 2004; 16: 14–17. (in Chinese with English abstract)
[13] Liao M K, Wang Z W. A new method for feature extraction of color image and its application. Journal of Guangxi University for Nationalities: Natural Science Edition, 2003; 8: 48–52. (in Chinese with English abstract)
[14] Han S Q, Wang L. A survey of thresholding methods for image segmentation. Systems Engineering and Electronics,
2002; 24: 91–94. (in Chinese with English abstract)
[15] Lü Q, Cai J R, Liu B, Deng L, Zhang Y J. Identification of fruit and branch in natural scenes for citrus harvesting robot using machine vision and support vector machine. Int J Agric & Biol Eng, 2014; 7(2): 115–121.
[16] Zhai J H, Zhao W X, Wang X Z. Research on the image feature extraction. Journal of Hebei University: Natural Science Edition, 2009; 1: 106–112. (in Chinese with English abstract)
[17] Dai H L, Xu M S. The analysis of quality evaluation methods of salted egg. Academic Periodical of Farm Products Processing, 2011; 4: 79–85. (in Chinese with
English abstract)
[18] Xu G L, Mao H P, Li P P. Application algorithm to extract color images color and texture features. Computer Engineering, 2002; 6: 25–27. (in Chinese with English abstract)
[19] Kim D G, Burks T F, Qin J, Bulanon D M. Classification of grape fruit peel diseases using color texture feature analysis. International Journal of Agricultural and Biological Engineering, 2009; 2: 41–50.
[20] Long J W, Shen X, Chen H P. Adaptive minimum error thresholding algorithm. Acta Automatica Sinica, 2012; 7: 1134–1144. (in Chinese with English abstract)
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Published
2015-02-28
How to Cite
Kunrui, X., Xi, L., Qiaohua, W., & Meihu, M. (2015). Online automatic grading of salted eggs based on machine vision. International Journal of Agricultural and Biological Engineering, 8(1), 35–41. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/1104
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Information Technology, Sensors and Control Systems
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