A novel boundary detection scheme based on "edge flow" is proposed in this paper. This scheme utilizes a predictive coding model to identify the direction of change in color and tecture at each image location at a given scale, and constructs an edge flow vector. By iteratively propagating the edge flow, the bowndaries can be detected at image locations which encounter tw opposite directions of flow in the stable state. A user defined image scale is the only significant control parameter that is needed by the algorithm. The scheme facilitates integration of color and texture into a single framework for boundary detection.