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Development of autofocusing algorithm based on fuzzy transforms

delete2016-04-01
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PRE
AI
S
Seok-Beom Roh
S
Sung‐Kwun Oh *
W
Witold Pedrycz
K
Kisung Seo
DOI:10.1016/j.fss.2015.08.029delete
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摘要

摘要

En 中文
In this paper, we propose a new passive auto focusing algorithm to acquire images with enhanced quality through a digital camera. The focus measure operations play a key role in a passive auto focusing method. The proposed focus measure operation is based on a localized version of image variance method. The localization of the image variance focus measure operation can be implemented with the use of fuzzy partition and Fuzzy Transform. In order to validate our approach, experimental comparative studies are conducted on test images with the use of different focus measure operators. The selected operators have been chosen from an extensive review of the state-of-the-art approaches. A comparative analysis demonstrates that the proposed algorithm is superior to the conventional methods. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Passive auto focusing algorithm
Fuzzy transforms
Conditional fuzzy C-means clustering
Fuzzy C-means clustering
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期刊

Fuzzy Sets and Systems 封面图
Fuzzy Sets and Systems
IF:
2.7
论文数:
7.6K
被引数:
1.5W

机构

K
King Abdulaziz University
学者数:
2.0W
论文数: 1.9W
被引数: 3.3W
U
university of alberta
学者数:
5.1W
论文数: 4.9W
被引数: 65
W
Wonkwang University
学者数:
3.2K
论文数: 2.9K
被引数: 2.2K
S
suwon university
学者数:
512
论文数: 623
被引数: 0
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