Abstract
The proposed research focuses on multi object inspection system in an efficient manner. The proposed model is suitable for multi-object investigation considering the various features like linearity, Circularity and dimensionality etc. This model is an intelligent one by employing various nature-inspired algorithms and classifiers like ANN (Artificial Neural Network), KNN (Kth nearest neighbor), SVM (Support-Vector-Machine) and LSSVM (Least-Square-Support-Vector-Machine). Overall performance of the proposed model is analyzed with the conventional procedures. Hence the proposed model is best choice for inspecting multi objects with high accuracy.
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References
Sahoo, S.K., Choudhury, B.B.: Dynamic bottle inspection system. In: 4th International Conference on Computational Intelligence in Data Mining (ICCIDM-2017), AISC series of Springer, Veer Surendra Sai University of Technology (VSSUT) (2017)
Wang, X., Liu, X., Japkowicz, N., Matwin, S.: Automated approach to classification of mine-like objects using multiple-aspect sonar images. J. Artif. Intell. Soft Comput. Res. 4(2), 133–148 (2015)
Chena, J., Lia, Z., Pana, J., Chena, G., Zia, Y., Yuanb, J., Chenc, B., Hea, Z.: Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review, vol. 70–71, pp. 1–35. Elsevier (2015)
Li, Y.: A construction of dual wavelet and its applications in image edge detection. Image Process. Pattern Recognit. 8(7), 151–160 (2015)
Sharma, N., Agarwal, A., Khyalia, P.K.: Squeezing of color image using dual tree complex wavelet transform based preliminary plan. Signal & Image Process., Int. J. (SIPIJ) 5(3) (June 2014)
Alarcon-Aquino, V., Ramirez-Cortes, J.M., Gomez-Gil, P., Starostenko, O., Lobato-Morales, H.: Lossy image compression using discrete wavelet transform and thresholding techniques. The Open Cybern. Syst. J. 7, 32–38 (2013)
Wu T.-C., Hung K.-C., Liu J.-H., Liu, T.-K.: Wavelet-based ECG data compression optimization with genetic algorithm, pp. 746–753. Scientific Research (2013)
Cai1, B., Liu, Z., Wang, J., Zhu, Y.: Int. J. Signal Process. 8(7), 51–62 (2015)
Sahoo, S.K., Choudhury, B.B.: Artificial intelligence (AI) based classification of an object using principal images. In: International conference on Computational Intelligence in Data mining, Ronald, Odisha, India, pp. 143–151 (2015).
Renjini, L., Jyothi, R.L.: Int. J. Comput. Trends Technol. (IJCTT) V-21(3), 134–140 (2015)
Panat, A., Patil, A., Deshmukh, G.: IRAJ Conference (2014)
Samanta, S., Mandal, A., Jackson Singh, T.: Procedia Mater. Sci. 6, 926–930 (2014)
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Sahoo, S.K. (2020). Artificial Intelligence Based Multi-object Inspection System. In: Behera, H., Nayak, J., Naik, B., Pelusi, D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 990. Springer, Singapore. https://doi.org/10.1007/978-981-13-8676-3_18
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DOI: https://doi.org/10.1007/978-981-13-8676-3_18
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