Proceedings of the International Conference
I W S S I P   2005

22 - 24 September 2005, Chalkida Greece
(from Chapter 1: Invited Addresses and Tutorials on Signals, Coding, Systems and Intelligent Techniques)

 Full Citation and Abstract

0 Title: Image Processing and Image Mining for Biotechnological Inspection Processes
  Author(s): Petra Perner
  Address: Institute of Computer Vision and applied Computer Sciences IBaI Körnerstr. 10, 04107 Leipzig
ibaiperner @
  Reference: SSIP-SP1, 2005  pp. 9 - 14
There are many biotechnological applications where 3-dimensional objects are represented as 2-d objects in a digital image. The dynamic and variable nature of the microorganism thus creates a formidable challenge to the design of a robust 2-d image inspection system with the ideal characteristics of high análisis accuracy but wide generalization ability. We have developed a novel case-based object recognition method for this kind of problems. The method is able to recognize objects and learn incrementally cases for the recognition process. Such a procedure requires capturing new cases for the further recognition process in order to be able to handle the variability of the natural objects. We describe the theory behind the method and how it works on our problem of fungi spore recognition. The developed case-based object recognition method is flexible and robust enough to be used for different recognition tasks in biotechnology.
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