1 January 2002 New morphological hit-miss transform-based detection algorithm
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Abstract
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.
© (2002) Society of Photo-Optical Instrumentation Engineers (SPIE)
Yang-Hoi Doh, Yang-Hoi Doh, Jong-Chan Kim, Jong-Chan Kim, Jeong-Woo Kim, Jeong-Woo Kim, Soo-Joong Kim, Soo-Joong Kim, Mohammad S. Alam, Mohammad S. Alam, } "New morphological hit-miss transform-based detection algorithm," Optical Engineering 41(1), (1 January 2002). https://doi.org/10.1117/1.1425783 . Submission:
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