Open Access

The impact of the resolution of the measured object on the assessment of its perimeter


Cite

ASTM E2567 - 14:2014. Standard Test Method for Determining Nodularity And Nodule Count In Ductile Iron Using Image Analysis.Search in Google Scholar

Batchelor, B.G, Whelan, P.F., 2012. Intelligent Vision Systems for Industry, Springer, London.Search in Google Scholar

Gądek-Moszczak, A., Korzekwa, J., Fabiś-Domagała, J., 2019. The Impact of the image resolution on the value of measured geometric parameters on the example of ductile iron structure, Quality Production Improvement-QPI, 1, 1, 350-357.10.2478/cqpi-2019-0047Search in Google Scholar

Golnabi, H., Asadpour, A., 2007. Design and application of industrial machine vision systems, Robotics and Computer-Integrated Manufacturing, 23, 6, 630-637.10.1016/j.rcim.2007.02.005Search in Google Scholar

Gonzalez, R.C., Woods, R.E. 2008. Digital Image Processing, 3rd edition, Pearson Education.Search in Google Scholar

Jia, H., Murphey, Y.L., Shi, J., Chang, T., 2004. An Intelligent Real-time Vision System for Surface Defect Detection. IEEE-Proceedings of the 17th International Conference on Pattern Recognition; 2004: 2-5.Search in Google Scholar

Nirbhar Neog, Dusmanta K Mohanta, Pranab K Dutta, 2014. Review of vision-based steel surface inspection systems, EURASIP Journal on Image and Video Processing, 2014:50.10.1186/1687-5281-2014-50Search in Google Scholar

Russ, J.C., 1995. The Image Processing Handbook, CRC Press.Search in Google Scholar

Russ, J.C., DeHoff, R.T., 2000. Practical stereology, Kluwer Academic/Plenum Publisher.10.1007/978-1-4615-1233-2Search in Google Scholar

Shirvaikar, M., 2006. Trends in automated visual inspection, Real-Time Image Proccesing 1(1): 41-43.10.1007/s11554-006-0009-6Search in Google Scholar

Wojnar, L., Gądek, A. 2006. Ocena powtarzalności wyników ilościowej oceny struktury, Archiwum Odlewnictwa, 6, PAN, Katowice (in Polish).Search in Google Scholar