Professional Title:Associate professor
Supervisor of Master's Candidates
Main positions:通信工程专业负责人
A Novel Region Selection Algorithm for Auto-focusing Method Based on Depth from Focus
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Affiliation of Author(s):电子电气与物理学院
Journal:Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications
Funded by:省、自治区、直辖市科技项目
Key Words:Scharr operator, region selection, depth from focus, auto-focusing
Abstract:Region selection algorithm for auto-focusing method based on depth from focus plays an important role in obtaining a high-quality image. A novel algorithm is proposed after analyzing different region selection algorithms. Firstly, the gradient image is obtained through Scharr operator with improved templates. Then the region with maximum accumulation value is selected as the final auto-focusing region based on global searching with fixed step. The experiments show that the proposed algorithm is more accurate compared with other algorithms.
Note:20174104266748
Indexed by:Essay collection
Document Code:9321
Translation or Not:no
Date of Publication:2017-10-09
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