作者: Francis M. Butterworth , Manohar Das
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摘要: A method to continuously identify and recognize microbiota in water comprises random sampling of a source, directing the sample an optical plane where microscopic CCD/video images are obtained stored analogue digitized form. Statistical data on organism type number will be simultaneously collected. Using novel software filtered segmented. Segmented activate extract morphological motion-related features. The extracted features used search database for matching, specific profiles recognition classification step. Software enable classification, together with statistical ascertain biological status water. flizzy-logic decision tree trigger actuator/annunciator relays that manipulate intake valves send signals through modems telephone warning messages.