Paper
4 December 1984 Image Processing And Pattern Recognition With Applications To Marine Biological Images
C. Katsinis, A. D. Poularikas, H. P. Jeffries
Author Affiliations +
Abstract
Erosion and dilation of images were compared with other edge detection techniques on a variety of marine organisms. Under certain conditions the erosion and dilation technique gave better results. The critical problem resolved by our approach was low contrast imaging of randomly oriented objects that displayed random variations due to appendages that frequently appearred with marine biological samples. A multicomputer system was developed to perform image processing and morphological feature extraction on large number of samples. Emphasis was given to system reliability and expandability, allowing for performance at a reduced rate when one or more computers malfunctioned. The system currently operates with seven computers but can be expanded to contain up to seventeen. Classification accuracy on zooplankton samples from New England coastal waters was approximately 92%.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. Katsinis, A. D. Poularikas, and H. P. Jeffries "Image Processing And Pattern Recognition With Applications To Marine Biological Images", Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); https://doi.org/10.1117/12.944879
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Image processing

Organisms

Computing systems

Satellites

Ocean optics

Feature extraction

Edge detection

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