New morphological detection algorithm based on the hit-miss transform

A new hit-miss transform (HMT) algorithm is proposed to detect distorted multiple objects in clutter. The HMT in morphology is used to locate a specific object in an input image. But the standard algorithm of the morphological HMT may cause problems in detecting various true-class objects. To provide efficient recognition of various true-class objects in the input image, a new optical hit-miss morphological transform using the synthetic structuring element (SE) is proposed. The synthetic hit SE is composed of the intersection of all true-class hit SEs, and the synthetic miss SE is composed of the complement of the union of all true-class hit SEs. Simulation results show that the proposed algorithm can be used for the recognition of various true-class objects in an unknown input scene with only one HMT operation. (C) 2002 society of Photo-Optical Instrumentation Engineers.