RAPID BLEEDING REGION DETECTION IN WIRELESS CAPSULE ENDOSCOPY VIDEOS

Authors

  • Sreeja Mole S S Professor Christhujoythi Institute of Technology

DOI:

https://doi.org/10.24297/jac.v13i8.5757

Keywords:

Canny edge detector, edge detection, super-pixel segmentation

Abstract

Wireless Capsule Endoscopy (WCC) is a medical imaging technique used to examine parts of the gastrointestinal tract. Computer aided detection is used to increase the speed of detection, better performance and reduce the time. Before finding the bleeding regions the edge regions are first detected and removed. Both the edge and the bleeding regions will share the same Hue value and the luminance should be same for the bleeding and the non -bleeding regions .We use a canny edge detector operator for detecting the edge regions in L channel. Canny edge detector is used to detect more edge pixels and preserve more bleeding pixels based up on canny edge algorithm. This method in edge removal algorithm includes edge detection, edge dilation and edge masking. After the removal of edges, those regions are made in to segment through super-pixel segmentation and regions are classified using Artificial Neural Network by Radial Bias Function (RBF).

 

Downloads

Download data is not yet available.

References

[1] A. Ali, J. Santisi, and J. Vargo, “Video capsule endoscopy: A voyage beyond the end of the scope,” Clevel. Clin. J. Med., vol. 71, no. 5, pp. 415– 425, 2004.

[2]. G. Iddan, G. Meron, A. Glukhovsky, and P. Swain, “Wireless capsule endoscopy,” Nature, vol. 405, p. 417, 2000

[3]. G. Zuckerman, C. Prakash, M. Askin, and B. Lewis, “AGA technical review on the evaluation and management of occult and obscure gas-trointestinal bleeding,” Gastroenterology, vol. 118, no. 1, pp. 201–221, 2000.

[4].J. Canny, “A computational approach to edge detection,” IEEE Trans. Patt. Anal. Mach. Intell., vol. 8, no. 6, pp. 679–698, Nov. 1986.

[5] N. Lee and G. Eisen, “10 years of capsule endoscopy: An update,” Expert Rev. Gastroenterol. Hepatol., vol. 4, no. 4, pp. 503–512, 2010.

[6].R. C. Gonzalez and R. E. Woods, Digital Image Processing,, 3rd ed. Up- per Saddle River, NJ, USA: Prentice-Hall, 2006.

[7]. Sreeja Mole, S.S., Rajeev V R, “FCM Algorithm for Medical Image Segmentation Using HMRF”. IJESRT,pp .2293-2299,2013.

[8].S. Liangpunsakul, L. Mays, and D. Rex, “Performance of given suspected blood indicator,” Amer. J. Gastroenterol., vol. 98, no. 12, pp. 2676–2678, 2003.

[9]. Y. Fu, M. Mandal, and G. Guo, “Bleeding region detection in wce images based on color features and neural network,” in Proc. IEEE 54th Int. Midwest Symp. Circuits Syst., Aug. 2011, pp. 1–4.

Downloads

Published

2017-02-17

How to Cite

Mole S S, S. (2017). RAPID BLEEDING REGION DETECTION IN WIRELESS CAPSULE ENDOSCOPY VIDEOS. JOURNAL OF ADVANCES IN CHEMISTRY, 13(8), 6389–6392. https://doi.org/10.24297/jac.v13i8.5757

Issue

Vol. 13 No. 8 (2017)

Section

Articles

License

Creative Commons License All articles published in Journal of Advances in Linguistics are licensed under a Creative Commons Attribution 4.0 International License.