An intelligent snake growing algorithm for fuzzy shape detection

摘要

A novel, robust algorithm for connectivity detection in the shape recognition process has been developed. The algorithm is a simplified version of the snake or active contour technique for object boundary detection. Access to a case base and constraint system is available at all stages of the process which increases the probability that semantically meaningful objects will be detected. The technique has proved valuable for a number of applications from the aerospace industry including shape recognition and fatigue crack detection. The algorithm has also been used to generate an improved version of the STIRS technique for shape recognition.