The application of the Kohonen neural network in the nonparametric-quality- based classification of tomatoes

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8334, Issue , 2012, Pages

  Boniecki, P ^a   Nowakowski, K ^a   Tomczak, R ^a   Kujawa, S ^a   Piekarska Boniecka, H ^a  

^a POZNA UNIVERSITY OF LIFE SCIENCES   (Poland)

Author keywords

Kohonen neural network; non parametric classification

Indexed keywords

CLUSTER CENTERS; DIGITAL IMAGE; EMPIRICAL DATA; KOHONEN; KOHONEN NEURAL NETWORKS; NEURAL MODELS; NONPARAMETRIC CLASSIFICATION; SELF-ORGANIZING FEATURE MAP; TOPOLOGICAL MAP;

CONFORMAL MAPPING; DIGITAL STORAGE; IMAGE PROCESSING; SELF ORGANIZING MAPS;

FRUITS;

EID: 84874705496     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.954158     Document Type: Conference Paper

References (10)

1. Boniecki P., 2008. Elements of the neural modelling in the agricultural. Agricultural University Publishing Company in Poznan
2. Boniecki P., Dach J., Nowakowski K., Jakubek A., 2009. Neural image analysis of maturity stage during composting of sewage sludge. International Conference on Digital Image Processing (ICDIP 2009), 7-9 March 2009, BANGKOK, Thailand, PROCEEDINGS, pp. 200-203, DOI: 10.1109/ICDIP.2009.85
3. Boniecki P., Nowakowski K., Tomczak R. L., 2011. Neural networks type MLP in the process of identification chosen varieties of maize. 3rd International Conference on Digital Image Processing (ICDIP 2011), 15-17 April 2011, CHENGDU, China, Proceedings of SPIE Volume: 8009, Article Number: 800908, DOI: 10.1117/12.896184
4. De Grano A. V. and Pabico J. P., 2007. Automating the Classification of Tomato (Lycopersicon esculentum) Maturity Using Image Analysis and Neural Networks. Transactions of the National Academy of Science and Technology, Philippines, 2007, vol. 29, no. 1, pp. 131-132, ISSN 0115-8848
5. Haralick R. M., Shanmugan K., Dinstein I., 1973. Textural Features for Image Classification. IEEE Trans. Syst., Man, Cybern. 3 (1973), pp. 610-621
6. Mulholland M., Hibbert D. B., Haddad P. R., Parslov P., 1995. A comparison of classification in artificial intelligence, induction versus a self-organising neural networks, Chemometric and intelligent laboratory systems 30, pp. 117-128
7. Nowakowski K., Boniecki P., Dach J., 2009. The identification of mechanical corn kernels damages basis on neural image analysis. International Conference on Digital Image Processing (ICDIP 2009), 7-9 March 2009, BANGKOK, Thailand, PROCEEDINGS pp. 412-415, DOI: 10.1109/ICDIP.2009.78
8. Nowakowski K., Boniecki P., Tomczak R., 2011. Identification process of corn and barley kernels damages using neural image analysis. 3rd International Conference on Digital Image Processing (ICDIP 2011), 15-17 April 2011, CHENGDU, China, Proceedings of SPIE Volume: 8009, Article Number: 80090C, DOI: 10.1117/12.896664
9. Ślósarz P., Stanisz M., Boniecki P., Przybylak A., Lisiak D., Ludwiczak A., 2011. Artificial neural network analysis of ultrasound image for the estimation of intramuscular fat content in lamb muscle. African Journal of Biotechnology Vol. 10(55), pp. 11792-11796, 21 September 2011
10. Tadeusiewicz R., Korohoda P., 1997. Computer Analysis and Image Processing. Progress of Telecommunication Foundation Publishing House, Cracow