Abstract
The study presents automatic identification of lungs area and rib borders detection in digital chest radiograph. There are used several segmentation methods, region labeling and region convex hull construction algorithm in lungs identification. Their final shape is derived from lungs identification algorithm, which uses machine learning. Ribs’ borders detection is based on Canny’s edge detection algorithm. Image of chest radiograph processed by Canny’s algorithm is used as entry point to the ribs’ border detection. Then, there are presented successive stages of borders detection for a sample rib. There is also described a method of gathering new patterns of ribs’ borders.
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References
Jahne B (1997) Digital Image Processing. Springer-Verlag, Berlin New York
Klette R, Zamperoni P (1996) Handbook of Image Processing Operators. John Wiley & Sons, New York
Parker James (1996) Algorithms for Image Processing and Computer Vision. John Wiley & Sons, New York
Ostrowski M (1992) Image Information. WNT, Warszawa (in Polish)
Mokrzycki W (1992) Encyclopedia of Image Processing. Academy Publishing RM, Warszawa (in Polish)
Bezier P (1972) Numerical Control: Mathematics and Applications. John Wiley & Sons, New York
Cichosz P (2000) Machine Learning Systems. WNT, Warszawa (in Polish)
Mulawka J (1996) Expert Systems. WNT, Warszawa (in Polish)
Zgliczynski L (1989) Radiology. State Workshop of Medicine Publishers, Warszawa (in Polish)
Daniel B (1988) Atlas of Human’s Radiological Anatomy. State Workshop of Medicine Publishers, Warszawa (in Polish)
Smajkiewicz L (1999) Polish Radiology Reviews 52:178–183 (in Polish)
Yezzi A, Kumar A, Olver P (1997) IEEE Trans on Medical Imaging 16:199–209
Melkman A (1987) Information Processing Letters 25:11–12
Otsu N (1979) IEEE Trans on Systems, Man, and Cybernetics 9:62–66
Ridler T, Calvard S (1978) IEEE Trans on Systems, Man, and Cybernetics 8:629–632
Kittler J, Illingworth J (1986) Pattern Recognition 19:41–47
Kapur JN, Sahoo PK, Wong AKC (1985) Computer Vision Graphics Image Processing 29:273–285
Huang LK, Wang MJ (1995) Pattern Recognition 28:41–51
Wellner P (1993) Communications of the ACM 36:87–96
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© 2005 Springer-Verlag Berlin Heidelberg
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Michalec, P., Tarnawski, W., Mazur, Z. (2005). Recognition of the Medical Structures in Computerized Chest Radiograph Processing. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_73
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DOI: https://doi.org/10.1007/3-540-32390-2_73
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