A vision based navigation for capsule endoscopies

Author

Ying Zhao ; Yunjiang Lou

Author_Institution

Shenzhen Grad. Sch., Key Lab. for Adv. Motion Control & Modern Autom. Equipments, Harbin Inst. of Technol., Shenzhen, China

fYear

2013

fDate

19-21 June 2013

Firstpage

723

Lastpage

728

Abstract

In this paper, a novel navigation method based on vision is proposed by integrating the advantages of watershed and pyramid segmentation methods. Using the idea of the continuity between two successive images, it is possible to give a reasonable advisory when the visual navigation fails. Besides that, we proposed to set a region of interest to accelerate the algorithm, using the method of image morphology to eliminate diverticula and introducing necessary auxiliary operations to avoid medical malpractice. A set of endoscopic images is tested to demonstrate the effectiveness of the proposed approach.

Keywords

endoscopes; image segmentation; medical image processing; vision; capsule endoscopy; endoscopic image segmentation; image morphology method; pyramid segmentation method; region of interest; visual navigation method; watershed segmentation method; Accuracy; Endoscopes; Image edge detection; Image segmentation; Navigation; Surgery; Visualization; capsule endoscopy; pyramid segmentation; region of interest; vision based navigation; watershed segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on

Conference_Location

Melbourne, VIC

Print_ISBN

978-1-4673-6320-4

Type

conf

DOI

10.1109/ICIEA.2013.6566462

Filename

6566462