PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
An idea for the construction of morphological structuring elements by neural learning from multiple targets is proposed. Accordingly, neural erosion is developed. Thus multi-character recognition and multi-to-one symbolic substitution can be easily realized. Optical implementation based on incoherent optical correlation is illustrated.
Lan Shao,Liren Liu,Guoqiang Li, andXuejun Zhang
"Multiple structuring element neural learning via cellular logic", Proc. SPIE 2321, Second International Conference on Optoelectronic Science and Engineering '94, (5 August 1994); https://doi.org/10.1117/12.182099
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Lan Shao, Liren Liu, Guoqiang Li, Xuejun Zhang, "Multiple structuring element neural learning via cellular logic," Proc. SPIE 2321, Second International Conference on Optoelectronic Science and Engineering '94, (5 August 1994); https://doi.org/10.1117/12.182099