A low-complexity intestinal lumen detection method for wireless endoscopy images

Author

Jianlong Zhang ; Dan Wang ; Xiang Xie ; Guolin Li ; Yingke Gu ; Zhihua Wang

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

fYear

2014

fDate

1-5 June 2014

Firstpage

2061

Lastpage

2064

Abstract

In this paper, an intestinal lumen detection method suitable for hardware design is proposed for the locomotive capsule or intelligent Micro-Ball endoscopy. In order to get low complexity as well as relatively high detection precision, a global threshold segmentation algorithm for non-full-shrink lumen and texture based algorithm for full-shrink lumen are proposed. Furthermore, only the red channel of the original Bayer-format image is used in the two algorithms. The computational complexity of the lumen detection method is also given. Experimental results show this method can provide 99.3% precision and 99.0% sensitivity.

Keywords

biological organs; biomedical optical imaging; computational complexity; endoscopes; image segmentation; image texture; medical image processing; Bayer-format image; computational complexity; global threshold segmentation algorithm; hardware design; intelligent microball endoscopy; locomotive capsule endoscopy; low-complexity intestinal lumen detection method; texture based algorithm; wireless endoscopy images; Algorithm design and analysis; Complexity theory; Endoscopes; Image segmentation; Sensitivity; Wireless communication; Wireless sensor networks; intestinal lumen detection; low complexity; wireless endoscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (ISCAS), 2014 IEEE International Symposium on

Conference_Location

Melbourne VIC

Print_ISBN

978-1-4799-3431-7

Type

conf

DOI

10.1109/ISCAS.2014.6865571

Filename

6865571