Title :
A multi-resolution algorithm for cytological image segmentation
Author :
Jeacocke, Mark B. ; Lovell, Brian C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Queensland Univ., Brisbane, Qld., Australia
fDate :
29 Nov-2 Dec 1994
Abstract :
The paper proposes a multi-resolution method for cell segmentation, and outlines some of the advantages it has over other techniques. The research is based on an approach developed by Wilson and Spann (1988), and the paper details some improvements on this algorithm for this particular problem
Keywords :
biomedical imaging; cellular biophysics; image classification; image segmentation; medical image processing; quadtrees; cell segmentation; cytological image segmentation; multi-resolution algorithm; Australia; Image analysis; Image edge detection; Image segmentation; Information analysis; Information processing; Quantization; Signal processing; Smoothing methods; Spatial resolution;
Conference_Titel :
Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-2404-8
DOI :
10.1109/ANZIIS.1994.396981
