A new focus measure operator for enhancing image focus in 3D shape recovery

被引：22

作者：

Jang, Hoon-Seok ^{[1
]}

Yun, Guhnoo ^{[2
]}

Mutahira, Husna ^{[3
]}

Muhammad, Mannan Saeed ^{[3
]}

机构：

[1] Korea Elect Technol Inst, Jeonbuk Reg Branch, IT Applicat Res Ctr, Jeonju, South Korea

[2] Korea Inst Sci & Technol, Ctr Intelligent & Interact Robot, Seoul, South Korea

[3] Sungkyunkwan Univ, Coll Informat & Commun Engn, Dept Elect & Comp Engn, Nat Sci Campus, Suwon 16419, South Korea

来源：

MICROSCOPY RESEARCH AND TECHNIQUE | 2021年 / 84卷 / 10期

关键词：

adaptive sum of weighted modified Laplacian; focus measure operator; shape from focus; window size; 3-DIMENSIONAL SHAPE; DEPTH;

D O I：

10.1002/jemt.23781

中图分类号：

R602 [外科病理学、解剖学]; R32 [人体形态学];

学科分类号：

100101 ;

摘要：

Measuring the image focus is an important issue in Shape from Focus methods. Conventionally, the Sum of Modified Laplacian, Gray Level Variance (GLV), and Tenengrad techniques have been used frequently among various focus measure operators for estimating the focus levels in a sequence of images. However, they have various issues such as fixed window size and suboptimal focus quality. To solve these problems, a new focus measure operator based on the adaptive sum of weighted modified Laplacian is proposed. First, the adaptive window size selection algorithm based on the GLV is applied. Next, appropriate weights are assigned to the Modified Laplacian values in the image window based on the distance between the center pixel and neighboring pixels. Finally, the Weighted Modified Laplacian values in the image window are summed. Experimental results demonstrate the effectiveness of the proposed method.

引用

页码：2483 / 2493

页数：11

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