A binary neural shape matcher using Johnson Counters and chain codes
نویسندگان
چکیده
منابع مشابه
A binary neural shape matcher using Johnson Counters and chain codes
Images may be matched as whole images or using shape matching. Shape matching requires: identifying edges in the image, finding shapes using the edges and representing the shapes using a suitable metric. A Laplacian edge detector is simple and efficient for identifying the edges of shapes. Chain codes describe shapes using sequences of numbers and may be matched simply, accurately and flexibly....
متن کاملReference ID A Binary Neural Shape Matcher using Johnson Counters and Chain Codes
In this paper, we introduce a neural network-based shape matching algorithm that uses Johnson Counter codes coupled with chain codes. Shape matching is a fundamental requirement in content-based image retrieval systems. Chain codes describe shapes using sequences of numbers. They are simple and flexible. We couple this power with the efficiency and flexibility of a binary associative-memory neu...
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1 This work is supported by CoSafe ESPRIT 28593
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2009
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2008.07.013