A common industrial problem is to load and unload process machinery. A feasible solution to a large subset of this problem has been demonstrated using sensor-equipped robot systems. These systems combine both remotely and locally sensed data with heuristic analysis algorithms. These algorithms can successfully direct a robot to acquire a part from a jumbled heap. This paper presents a heuristic vision analysis algorithms which are based on neighborhood operators. The algorithms combine global characteristics and local matches to graspable inside or outside edge pairs, the pattern of a holdsite. The properties inherent to neighborhood operators permit smoothed local edge information to be extracted from images of the target class of parts.