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For appropriate river management, continuous monitoring scum causing bad smell and aggravation of the scene and cleaning the water surface if appeared are necessary. In this study, the method of monitoring scum at tidal area of urban river was proposed. With pictures of the fixed point camera for monitoring water level by Ryukei Bridge over Kanda River, scum were automatically distinguished from the surface of the water. For distinction of scum, pictures were split into lattice-like and each lattice having scum or not were distinguished by pattern analysis of color using artificial neural network. The results showed that the number of lattices having scum which the neural network detect follow volume of scum with visual observation. For monitoring scum, fixed point camera is useful.

AUTOMATIC DISTINCTION OF SCUM IN URBAN RIVER BY THE NEURAL NETWORK USING FIXED POINT CAMERA IMAGE