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Image Processing And Pattern Recognition With Applications To Marine Biological Images
12
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0
References
1984
Year
EngineeringMarine SensorOceanographyUnderwater ImagingImage ClassificationZooplankton SamplesImage AnalysisPattern RecognitionDilation TechniqueEdge DetectionLow Contrast ImagingImage ProcessingMachine VisionMedical Image ComputingComputer VisionCoastal ManagementBioimage AnalysisMarine Biological ImagesTexture AnalysisMarine BiologyPattern Recognition Application
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%.