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Proceedings Paper

Model-based image processing for characterizing pigs in scenes
Author(s): Robin D. Tillett; John A. Marchant
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Paper Abstract

This paper reports on the development of a model-based technique to locate pigs in fairly unstructured scenes. Model-based image processing is potentially a very powerful technique for identifying and classifying images. It is particularly relevant for biological objects such as animals which are difficult to define in numerical terms. Here the model is based on an image of a typical pig viewed from above . The model can then be rotated translated scaled and bent laterally to find a good match within an image of another pig. The output of the model helps to segment and classify the pig and the information can be used to guide further localized image processing. The development of the model and methods of fitting it to the image are described and results on a sample image are presented. 1.

Paper Details

Date Published: 1 February 1991
PDF: 8 pages
Proc. SPIE 1379, Optics in Agriculture, (1 February 1991); doi: 10.1117/12.25091
Show Author Affiliations
Robin D. Tillett, AFRC Institute of Engineering Research (United Kingdom)
John A. Marchant, AFRC Institute of Engineering Research (United Kingdom)

Published in SPIE Proceedings Vol. 1379:
Optics in Agriculture
James A. DeShazer; George E. Meyer, Editor(s)

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