Recovering Affine Deformations of Fuzzy Shapes
Fuzzy sets and fuzzy techniques are attracting increasing attention nowadays in the field of image processing and analysis. It has been shown that the information preserved by using fuzzy representation based on area coverage may be successfully utilized to improve precision and accuracy of several shape descriptors; geometric moments of a shape are among them. We propose to extend an existing binary shape matching method to take advantage of fuzzy object representation. The result of a synthetic test show that fuzzy representation yields smaller registration errors in average. A segmentation method is also presented to generate fuzzy segmentations of real images. The applicability of the proposed methods is demonstrated on real X-ray images of hip replacement implants.
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- 2.Domokos, C., Kato, Z., Francos, J.M.: Parametric estimation of affine deformations of binary images. In: Proceedings of International Conference on Acoustics, Speech and Signal Processing, Las Vegas, Nevada, USA, pp. 889–892. IEEE, Los Alamitos (2008)Google Scholar
- 3.Hagege, R., Francos, J.M.: Linear estimation of sequences of multi-dimensional affine transformations. In: Proceedings of International Conference on Acoustics, Speech and Signal Processing, Toulouse, France, vol. 2, pp. 785–788. IEEE, Los Alamitos (2006)Google Scholar
- 7.Boudier, T.: The snake plugin for ImageJ. software, http://www.snv.jussieu.fr/~wboudier/softs/snake.html
- 9.Oprea, A., Vertan, C.: A quantitative evaluation of the hip prosthesis segmentation quality in X-ray images. In: Proceedings of International Symposium on Signals, Circuits and Systems, Iasi, Romania, vol. 1, pp. 1–4. IEEE, Los Alamitos (2007)Google Scholar