The article presents the problem of determining the edges of objects enclosed in a medical CT images, which will be subject to further analysis, for the purpose of medical diagnosis. The use of a transformation which introduces two-point thresholding, eliminates presenting pixels of objects for tissues that are not a subject to further analysis. This approach allowed us to sharpen the edges of objects presenting soft tissue. A way to detect the edge of the soft tissue was compared for the original image and processed one using the transformation using the method of Chan-Vese. Sharpening of edges of the image have improved the accuracy of detection of objects presenting the soft tissue.


thresholding; Chan-Vese; image processing; CT

Brox T., Weickert J.: Level Set Segmentation with Multiple Regions. Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Building 27.1, 66041 Saarbrücken, Germany, 2005.

Chan T. F., Vese L. A.: Active Contours Without Edges. IEEE Transactions on image processing, col. 10, No.2, February 2001.

Demirkaya O., Sahoo P. K.: Image Processing with MATLAB®; Applications in Medicine and Biology. CRC Press 2009.

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.

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.

Moelich M., Chan T.: Tracking objects with the Chan-Vese algorithm. Mathematics Department, UCLA, 405 Hilgard Avenue, Los Angeles, 2003.

Petrou M., Bosdogianni P.: Image Processing the Fundamentals, Wiley, London, 2004.

Pratt W. K.: Digital Image Processing, Wiley-Interscience, Los Altos, California, 2007.

Rumpf M., Strzodka R.: Level set segmentation in graphics hardware. University of Duisburg, Applied Mathematics, Lotharstr. 65, D-47048 Duisburg.

Salman N.: Image Segmentation and Edge Detection Based on Chan-Vese Algorithm” Computer Science Department, Zarqa Private Univesity, Jordan, 2006.

Tadeusiewicz R., Śmietański J.: Pozyskiwanie obrazów medycznych oraz ich pozyskiwanie, analiza, automatyczne rozpoznawanie i diagnostyczna interpretacja. WSTN, Kraków 2011.

Published : 2015-10-28

Prokop, P. (2015). APPLICATION CHAN-VESE METHODS IN MEDICAL IMAGE SEGMENTATION. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 5(4), 32-37.

Paweł Prokop
Politechnika Lubelska, Wydział Elektrotechniki i Informatyki  Poland