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
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