Title :
Segmentation of volumetric histo-pathological images by surface following using constrained snakes
Author :
Adiga, P. S Umesh ; Chaudhuri, B.B.
Author_Institution :
Indian Stat. Inst., Calcutta, India
Abstract :
Describes how the snakes under specified constraints can be used to segment 3-D cells in the volumetric tissue images. A snake contour is initialized in one image slice and the optimum snake contour is used to follow the surface of the cell in different image slices. This method is useful to track the cells which appear to be considerably moved in its lateral position when we see along the depth of the image stack
Keywords :
biological techniques; biological tissues; biology computing; cellular biophysics; image segmentation; medical image processing; splines (mathematics); 3D cells; constrained snakes; image slice; image stack; optimum snake contour; surface following; volumetric histo-pathological images; volumetric tissue images; Electromagnetic wave absorption; Image edge detection; Image segmentation; Image texture analysis; Information filtering; Information filters; Microscopy; Protection; Smoothing methods; Surface fitting;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.712042
