ZASTOSOWANIE METODY CHAN-VESE W SEGMENTACJI OBRAZÓW MEDYCZNYCH

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Chan T. F., Vese L. A.: Active Contours Without Edges. IEEE Transactions on image processing, col. 10, No.2, February 2001.
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Demirkaya O., Sahoo P. K.: Image Processing with MATLAB®; Applications in Medicine and Biology. CRC Press 2009.
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Maciejewski M., Surtel W., Małecka-Massalska T.: Level-set image processing methods in medical image segmentation. NTAV/SPA 2012 – New Trends in Audio and Video sSignal Processing Algorithms, Architectures, Arrangements and Applications, 27-29 September 2012, Łódź, 2012.
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Madhu S. N., Revathy K., Tatavarti R.: Removal of Salt-and Pepper Noise in Images: A New Decision-Based Algorithm. IMECS 2008, 19-21 March, 2008, Hong Kong, 2008.
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Moelich M., Chan T.: Tracking objects with the Chan-Vese algorithm. Mathematics Department, UCLA, 405 Hilgard Avenue, Los Angeles, 2003.
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Petrou M., Bosdogianni P.: Image Processing the Fundamentals, Wiley, London, 2004.
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Pratt W. K.: Digital Image Processing, Wiley-Interscience, Los Altos, California, 2007.
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Rumpf M., Strzodka R.: Level set segmentation in graphics hardware. University of Duisburg, Applied Mathematics, Lotharstr. 65, D-47048 Duisburg.
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Salman N.: Image Segmentation and Edge Detection Based on Chan-Vese Algorithm” Computer Science Department, Zarqa Private Univesity, Jordan, 2006.
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Tadeusiewicz R., Śmietański J.: Pozyskiwanie obrazów medycznych oraz ich pozyskiwanie, analiza, automatyczne rozpoznawanie i diagnostyczna interpretacja. WSTN, Kraków 2011.
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