Title :
A two-stage scene segmentation scheme for the automatic collection of cervical cell images
Author :
Bamford, Pascal ; Lovell, Brian
Author_Institution :
Dept. of Electr. & Comput. Eng., Queensland Univ., Brisbane, Qld., Australia
Abstract :
A segmentation process which emulates the human method of screening cervical smears is presented. The scheme consists of two distinct stages, one at low magnification using water immersion segmentation, followed by a search based dual active contour method at high magnification. Each technique and the overall method is explained and examples are given
Keywords :
cellular biophysics; edge detection; feature extraction; image segmentation; medical image processing; patient diagnosis; search problems; active contour nucleus extraction algorithm; automatic collection; cervical cell images; high magnification; low magnification; search based dual active contour method; two-stage scene segmentation; water immersion segmentation; Active contours; Cervical cancer; Humans; Image resolution; Image segmentation; Image sensors; Information processing; Layout; Pixel; Signal processing;
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-4365-4
DOI :
10.1109/TENCON.1997.648513
