



@book {2502,
	title = {Optimal detection of symmetry axis in digital chest X-ray images},
	series = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci.},
	volume = {2652},
	year = {2003},
	note = {Export Date: 21 November 2012Source: ScopusLanguage of Original Document: EnglishCorrespondence Address: Vinhais, C.; INEB - Institute de Engenharia Biom{\'e}dica, Laborat{\'o}rio de Sinai e Imagem Biom{\'e}dica, Campus da FEUP, Rua Roberto Frias, s/n, 4200-465 Porto, Portugal; email: cav@isep.ipp.ptReferences: Marola, G., On the Detection of the Axes of Symmetry of Symmetric and Almost Symmetric Planar Images (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, pp. 104-108;Marola, G., Using Symmetry for Detecting and Locating Objects in a Picture (1989) Computer Vision, Graphics and Image Processing, 46, pp. 179-195; 
Zabrodsky, H., Peleg, S., Avnir, D., A Measure of Symmetry Based on Shape Similarity (1992) Proceedings of Computer Vision and Pattern Recognition, pp. 703-706; 
Zabrodsky, H., Peleg, S., Avnir, D., Hierarchical Symmetry (1992) Proceedings of International Conference on Pattern Recognition, 3, pp. 9-11; 
O{\textquoteright}Mara, D., Owens, R., Measuring Symmetry in Digital Images (1996) Proceedings of TENCOM {\textquoteright}96-IEEE Region Ten Conference: Digital Signal Processing Applications, 1, pp. 151-156; 
Sun, C., Symmetry Detection using Gradient Information (1995) Pattern Recognition Letters, 16 (9), pp. 987-996; 
Sun, C., Si, D., Fast Reflectional Symmetry Detection using Orientation Histograms (1999) Real-Time Imaging, 5, pp. 63-74; 
Shen, D., Ip, H.H.S., Cheung, K.K.T., Teoh, E.K., Symmetry Detection by Generalized Complex (GC) Moments: A Close-form Solution (1999) IEEE Transactions on Pattern Analysis and Machine Intelligence, 21 (5), pp. 466-476; 
Shen, D., Ip, H.H.S., Teoh, E.K., An Energy of Asymmetry for Accurate Detection of Global Reflection Axes (2001) Image and Vision Computing, 19, pp. 283-297; 
Yuen, K.S.Y., Chan, W.W., Two Methods for Detecting Symmetries (1994) Pattern Recognition Letters, 15, pp. 279-286; 
Zielke, T., Brauckmann, M., Von Seelen, W., Intensity and Edge-based Symmetry Detection with an Application to Car-following (1990) Computer Vision, Graphics and Image Processing: Image Understanding, 58, pp. 177-190; 
Gofman, Y., Kiryati, N., Detecting Symmetry in Grey Level Images: The Global Optimization Approach (1998) International Journal of Computer Vision (IJCV), 29, pp. 29-45; 
Masuda, T., Yamamoto, K., Yamada, H., Detection of Partial Symmetry using Correlation with Rotated-reflected Images (1993) Pattern Recognition, 26 (8), pp. 1245-1253
},
	month = {2003///},
	pages = {1082 - 1089},
	abstract = {We present a method for detecting the axis of bilateral symmetry in a digital chest X-ray image and subsequently measuring the degree of symmetry of the image. The detection is achieved by analysing rotated-reflected digital chest X-ray images and it is posed as a global optimization problem solved with a probabilistic genetic algorithm (PGA). The global search is initially based on natural peak orientation information related to the orientation of the symmetry axis. Only a few generations of the PGA are needed to achieve convergence to all the images in the database. This method is applied directly on the intensity input image and does not require any prior segmentation. {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.},
	keywords = {image processing, Probabilistic genetic algorithm, Reflectional Symmetry},
	isbn = {03029743 (ISSN)},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-35248899557\&partnerID=40\&md5=f8181de2e6823d44786341f3d6642aed},
	author = {Vinhais, C. and Campilho, A.}
}
