Segmentation Method Overview for Thermal Images in Matlab Computational Environment
Abstract
This paper presents an overview of methods usable for segmentation of thermal images in MATLAB computational environment. The goal of this work is the demonstration usage of available methods and evaluate their performance. Part of the work is to present the datasets we create for testing. This paper is part of our ongoing work focused on segmentation of thermal images from the process of traverse wedge rolling.References
Arthur, D. and Vassilvitskii, S. 2007. K-Means++: The Advantages of Careful Seeding. In Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2007, New Orleans, Louisiana, USA. SIAM, pp. 1027-1035. DOI: 10.1145/1283383.1283494
Blohm, T., Langner, J., Stonis, M, Behrens, B.-A. 2017. Basic study of incremental forming of serially arranged hybrid parts using cross-wedge rolling. Procedia Eng. 207, Jan, pp. 1677-1682. DOI: 10.1016/J.PROENG.2017.10.921
Bradley, D. and Roth, G. 2007. Adaptive Thresholding using the Integral Image. J. Graph. Tools 12, pp. 13-21. DOI: 10.1080/2151237X.2007.10129236
Chan, T. F. and Vese, L. A. 2001. Active contours without edges. IEEE Trans. Image Process 10, 2, pp. 266-277. DOI: 10.1109/83.902291
Crow, F. C. 1984. Summed-area Tables for Texture Mapping. In Proc. 11th Annu. Conf. Comput. Graph. Interact. Tech.. ACM, pp. 207-212. DOI: 10.1145/800031.808600
Fu, X. P. and Dean, T. A. 1993. Past developments, current applications and trends in the cross wedge rolling process. Int. J. Mach. Tools Manuf. 33, 3, pp. 367-400. DOI: 10.1016/0890-6955(93)90047-X
Kaur, D. and Kaur, Y. 2014. Various image segmentation techniques: a review. Int. J. Comput. Sci. Mob. Comput. 3, 4, pp. 809-814.
Najman, L. and Talbot, H. 2013. Mathematical Morphology: From Theory to Applications. John Wiley & Sons.
Otsu, N. 1979. A Threshold Selection Method from Gray-Level Histograms. IEEE Trans. Syst. Man. Cybern. 9, 1, pp. 62-66. DOI: 10.1109/TSMC.1979.4310076
Pater, Z., Tomczak, J, and Bulzak, T. 2018. New forming possibilities in cross wedge rolling processes. wArch. Civ. Mech. Eng. 18, 1, pp. 149-161. DOI: 10.1016/J.ACME.2017.06.005
Protiere, A. and Sapiro, G. 2007. Interactive Image Segmentation via Adaptive Weighted Distances. IEEE Trans. Image Process. 16, 4, pp. 1046-1057. DOI: 10.1109/TIP.2007.891796
Stehman, S. V. 1997. Selecting and interpreting measures of thematic classification accuracy. Remote Sens. Environ. 62, 1, pp. 77-89. DOI: 10.1016/S0034-4257(97)00083-7
Whitaker, R. T. 1998. A Level-Set Approach to 3D Reconstruction from Range Data. Int. J. Comput. Vis. 29, 3, pp. 203-231. DOI: 10.1023/A:1008036829907
MENDEL open access articles are normally published under a Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/ . Under the CC BY-NC-SA 4.0 license permitted 3rd party reuse is only applicable for non-commercial purposes. Articles posted under the CC BY-NC-SA 4.0 license allow users to share, copy, and redistribute the material in any medium of format, and adapt, remix, transform, and build upon the material for any purpose. Reusing under the CC BY-NC-SA 4.0 license requires that appropriate attribution to the source of the material must be included along with a link to the license, with any changes made to the original material indicated.