Development of autofocusing algorithm based on fuzzy transforms

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• 作者：Seok-Beom Roh^a ; Sung-Kwun Oh^b ; ^{ohsk@suwon.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Witold Pedrycz^c ; ^d ; ^e ; Kisung Seo^f
• 关键词：Passive auto focusing algorithm ; Fuzzy transforms ; Conditional fuzzy C-means clustering ; Fuzzy C-means clustering
• 刊名：Fuzzy Sets and Systems
• 出版年：2016
• 出版时间：1 April 2016
• 年：2016
• 卷：288
• 期：Complete
• 页码：129-144
• 全文大小：3430 K

文摘

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.