Title :
Research of automatic medical image segmentation algorithm based on Tsallis entropy and improved PCNN
Author :
Weili, Shi ; Yu, Miao ; Zhanfang, Chen ; Hongbiao, Zhang
Author_Institution :
Changchun Univ. of Sci. & Technol., Changchun, China
Abstract :
It needs set parameters on image segmentation based on PCNN (Pulse Coupled Neural Network) now. This paper points out the new method for medical image segmentation based on improved PCNN and Tsallis entropy. The new methods can automatically segment the medical images without selecting the PCNN parameters. It gets the best results with combining with the Tsallis entropy. The new method is very useful for PCNN application in the medical images segmentation.
Keywords :
entropy; image segmentation; medical image processing; neural nets; Tsallis entropy; automatic medical image segmentation algorithm; pulse coupled neural network; Biomedical imaging; Brain modeling; Cities and towns; Deformable models; Entropy; Equations; Histograms; Image segmentation; Mathematical model; Mathematics; Artificial Intelligence; Medical Image Segmentation; PCNN; Tsallis entropy;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246315
