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
Published in:
Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on
Date of Conference: 1999