Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2000.11c
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- Pages.13-16
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- 2000
A STUDY ON DTCNN APPLYING FUZZY MORPHOLOGY OPERATORS
퍼지 형태학 연산자를 적용한 DTCNN 연구
Abstract
This paper is to compare DTCNN(Discrete-time Cellular Neural Networks) applying the fuzzy morphology operators with the conventional FCNN(Fuzzy CNN) using the general morphology operators. These methods are to the image filtering, and are compared as MSE. Also the main goal of this paper is to compare the fuzzy morphology operators with the general morphology operators through image input. In a result of computer simulation, we could know that the error of DTCNN applying the fuzzy morphology operators is less about 6.1809 than FCNN using the general morphology operators in the image included 10% noise, also the error of the former is less about 5.5922 than the latter in the image included 20% noise. And the image of DTCNN applying the fuzzy morphology operators is superior to FCNN using the general morphology operators.
Keywords