X-Ray Images Processing to Detect Packaging Defects in Canned Food Industry Using Fuzzy Logic
Resumen
Taking into account the importance of packaging in the food industry and the need to maintain the health of the materials in the packaging, and with the help of the experiences obtained from previous research with their strengths and weaknesses, we propose a method for the detection of defects in canned packaging, through the use of X-ray radiography, image processing and feature extraction methods, based on fuzzy logic functions for them.
Descargas
Citas
Amza, C. G., & Cicic, D. T. (2015). Industrial image processing using fuzzy-logic. Procedia Engineering, 100, 492-498.
Fardin Far. (1936). Investigation of Image Processing-Based Flame Detection Method Using Fuzzy Logic. 2nd National Conference on Applied Research in Computer Electrical Engineering and Information Technology. (2) 6, 8-10
Gonzalez, R. C., Eddins, S. L., & Woods, R. E. (2004). Digital image publishing using MATLAB. Prentice Hall.
Huang, N. E., & Wu, Z. (2008). A review on Hilbert‐Huang transform: Method and its applications to geophysical studies. Reviews of geophysics, 46(2).
Izadbakhsh et al (2017). Design of expert system based on image processing for quality control of copper wires. 3rd International Conference on Industrial and Systems Engineering, (1) 4, 10-15.
Namdeo, A., & Vishwakarma, A. (2013). A Survey on Copy Move Image Forgery Detection Using Wavelet Transform. International Journal of Science and Research, 4(3), 876-878.
Pascu, N. E., Dobrescu, T., Opran, C., & Enciu, G. (2014). Realistic scenes in CAD application. Procedia Engineering, 69, 304-309.
Rastegari et al. (2017). A review of basic concepts of image and image processing, National Conference on Modern Research in Electrical, Computer and Medical Engineering, (3) 4, 2-3
Sargunar, P. J., & Sukanesh, R. (2010). Automatic detection of weld defects in pressure vessels using fuzzy neural network. International Journal of Computer Applications, 1(21), 119-125.
Copyright
La Revista de la Universidad del Zulia declara que reconoce los derechos de los autores de los trabajos originales que en ella se publican; dichos trabajos son propiedad intelectual de sus autores. Los autores preservan sus derechos de autoría y comparten sin propósitos comerciales, según la licencia adoptada por la revista..
Esta obra está bajo la licencia:
Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)