DocumentCode :
3379339
Title :
Recording changes in biological in vivo cells by using the L-G methodology
Author :
Bourbakis, N.G. ; Kavraki, D. ; Yuan, X. ; Goljan, M.
Author_Institution :
Dept. of Electr. Eng., Binghamton Univ., NY, USA
fYear :
1999
fDate :
1999
Firstpage :
56
Lastpage :
63
Abstract :
This paper presents the use of the L-G methodology for recording changes occurring in biological cells included in biological images. In particular, the local-global (L-G) graph methodology is able to accurately and efficiently represent the local and the global features contained in an image. The use of the L-G method on successive biological images can represent the content of images, compare them and record their visual differences or similarities. Note that, the similarity between two images is based on color, size, shape and topological changes of the image regions. Several methods dealing with image or objects similarities have been proposed. The method attempts to replace the human observer´s and eliminate the human perception disadvantages (difficulty to observe small differences, or many differences in different places, long time observation, etc.) by recording differences extracted from different images
Keywords :
biology computing; graph theory; image colour analysis; image matching; image segmentation; L-G methodology; biological images; biological in vivo cells; image color; image regions; image shape; image similarity; image size; local-global graph methodology; topological change; visual differences; Cells (biology); Feature extraction; Humans; Image edge detection; Image processing; Image segmentation; In vivo; Robustness; Shape measurement; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on
Conference_Location :
Bethesda, MD
Print_ISBN :
0-7695-0446-9
Type :
conf
DOI :
10.1109/ICIIS.1999.810224
Filename :
810224
Link To Document :
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