Investigation of Influence of Change of Noise Variance in Removing Floating Matter from Underwater Image Using Kalman Filter

被引：0

作者：

Egashira, Makoto ^{[1
]}

Migita, Masahiro ^{[2
]}

Enomoto, Koichiro ^{[3
]}

Komuro, Takashi ^{[4
]}

Toda, Masashi ^{[2
]}

Kuwahara, Yasuhiro ^{[5
]}

Tezuka, Naoaki ^{[6
]}

机构：

[1] Kumamoto Univ, Grad Sch Sci & Technol, Kumamoto, Japan

[2] Kumamoto Univ, Ctr Management Informat Technol, Kumamoto, Japan

[3] Univ Shiga Prefecture, Dept Elect Syst Engn, Hikone, Japan

[4] Saitama Univ, Grad Sch Sci & Engn, Saitama, Japan

[5] Hokkaido Res Org, Fisheries Res Dept, Abashiri Fisheries Res Inst, Sapporo, Hokkaido, Japan

[6] Japan Fisheries Res & Educ Agcy, Natl Res & Dev Agcy, Minamiise, Japan

来源：

PROCEEDINGS OF THE SEVENTH ASIA INTERNATIONAL SYMPOSIUM ON MECHATRONICS, VOL II | 2020年 / 589卷

关键词：

Kalman filter; Visual disturbing noise; Underwater image;

D O I：

10.1007/978-981-32-9441-7_102

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose a method for eliminating image noise (from sand, algae, bubbles, etc.) that is transferred when capturing underwater images. In detail, we separate the input of a moving underwater image into a slowly changing background and foreground moving at a certain speed using Kalman filter and object tracking. In this research, we examined the difference in image quality of the output image by changing the noise variance given to the Kalman filter.

引用

页码：987 / 993

页数：7