Research on the influence of focusing function based on different texture image

被引：0
|
作者：
Ren Shuyan [1 ]
Lu Liu [1 ]
机构：
[1] Tianjin Univ Technol & Educ, Key Lab Informat Sensing & Intelligent Control, Tianjin 300222, Peoples R China
来源：
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON ADVANCED DESIGN AND MANUFACTURING ENGINEERING | 2015年 / 39卷
关键词：
texture image; clarity evaluation function; focus;
D O I：
暂无
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
The main research content of this paper is to take fabric images with different texture features, by three kinds of commonly used and relatively good performance of the clarity evaluation function process the image, such as gray scale gradient function, energy gradient function (Tenengrad function) and Laplasse algorithm, So as to obtain the clarity evaluation function curve of different texture images, and then according to the characteristics of the single peak, no bias and anti interference ability, draw texture image that is much more detail-rich images easier to focus.
引用
收藏
页码：18 / 21
页数：4
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