Abstract
Automated computer-controlled image analysis of digitized video images has developed into a versatile tool useful for many applications. Both on the macroscopic and microscopic scales counting, identification and tracking are facilitated by these techniques which allow a quantitative, fast and objective analysis. Though image analysis has not yet reached the capabilities of the human eye and brain, it helps in both routine analysis and research tasks. Future enhancements made possible by the availability of larger memories and higher processing speeds will enhance the realm of applications. Especially the use of pipeline processing and dedicated hardware for the routines of image manipulation, including averaging and Laplace filtering, will open new fields of use. The most difficult task to master will be the extraction of complex parameters necessary for object recognition in an image, which requires a high degree of built-in intelligence both on the hardware and software level. Another ambitious task to tackle is the analysis of image sequences in order to track several individuals in a population in parallel.
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Häder, DP. Computer-assisted image analysis in biological sciences. Proc. Indian Acad. Sci. 98, 227–249 (1988). https://doi.org/10.1007/BF03053794
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DOI: https://doi.org/10.1007/BF03053794