References
[1]. Santi Segue, Michal Drozdzal, Fernando Vilarino,
Carolina Malagelada, Frenando Azpiroz, Petia Radeva,
and Joridi Vitria, (2012). "Categorization and
segmentation of Intestinal content frames for wireless
capsule endoscopy”. IEEE Transaction on Information
Technology in Biomedicine. Vol. 16, No.6.
[2]. G. Iddan, G. Meron, A. Glukhovsky, and P. Swain,
(2000). “Wireless capsule endoscopy”. Nature, Vol. 405,
pp.4-7.
[3]. V. Hai, T. Echigo, R. Sagawa, K. Higuchi, T. Arakawa,
and Y. Yagi, (2006). “Adaptive control of video display for
diagnostic assistance by analysis of capsule endoscopic
images”. Proc. 18th Int. Conf. Patteren recognition, Vol.3,
pp.980-983.
[4]. Y. Ygi, H. Vu, T. Echigo, R. Sagawa, K. Yagi, M. Higuchi,
and T. Arakawa, (2007). “A Diagnosis support system for
capsuleendoscopy”. Inflammopharmacology. Vol.5,
No.2, pp.78-83.
[5]. H. Vu, R. Sagawa, Y. Yagi, T. Echigo, M. Shiba, K.
Higuchi, T. Arakawa, and K. Yagi, (2009). “Evaluating the control of the adaptive display rate for video capsule
endoscopy diagnosis”. Proc. 18th Int. Conf. Robot
Biomimetic. pp.74-79.
[6]. A. Karargyris and N. Bourbakis, (2011). ”Detection of
small bowel polyps and ulcer in wireless capsule
endoscopy video's”. IEEE Trans. Biomed Egg., Vol. 58, No.
10, pp. 2777-2786.
[7]. S. Hwang and M. E. Celebi, (2010). “Poly detection in
wireless capsule endoscopy videos based on image
segmentation and geometric feature”. Proc. IEEE Int.
Conf. Acoust. Speech Signal process. pp.678-681.
[8]. F. Vilarino, P. Spyridonos, O. Pujol, J. Radeva, (2006).
“Automatic detection of intestinal juices in wireless
capsule video endoscopy”. Proc. 18th Int. conf. Pattern
recognition., pp. 20-24.
[9]. Najman, L., Schmitt, M. (1996). “Geodesic saliency of
watershed contours and hierarchical segmentation”. IEEE
Trans. Pattern Analysis and Machine Intelligence, Vol. 18,
No. 12, pp.1163 – 1173.
[10]. Grau, V., Mewes, A.U.J., (2004). “Improved
watershed transform for medical image segmentation
using prior information”. Proc. IEEE Trans, Medical
imaging. Vol. 23, No. 4, pp.447 – 458.
[11]. Gauch, J. M. “Image segmentation and analysis via
multiscale gradient watershed hierarchies” Proc. IEEE
Trans. Image Processing., Vol. 8, No. 1, pp.69–79.
[12]. Xiaodong Yang, Li, Houqiang, Xiaobo Zhou. “Nuclei
Segmentation Using Marker-Controlled Watershed,
Tracking Using Mean-Shift, and Kalman Filter in Time-Lapse
Microscopy”. Circuits and systems IEEE Trans. Vol. 53, No.
11, pp.2405 – 2414.
[13]. Pramod Bhat, Mandeep Singh, (2012).
”Classification of Stock using Texture Analysis on CT
images”. Proc. Int. Journal of Soft Computing and Engg. Vol. 2, No.3.
[14]. Yun Sub Jung, Young Ho Kim, Dong Ha Lee, Jong
Hyo Kim, (2008). “Active Blood Detection in a High
Resolution Capsule Endoscopy using Color Spectrum
Transformation“. Proc. Int. Conf. on Biomedical egg. And
Informatics. Vol. 1, pp.859-862.
[15]. Hossein Ghayoumi Zadeh, Siamak Janianpour, and
Javad Haddadnia, (2013). ”Recognition and
Classification of the Cancer Cells by Using Image
Processing and Lab VIEW” Proc. Int. Journal of Computer
Theory and engg, Vol. 5, No.1.
[16]. Freixenet, J., Munoz, X., Raba, D., Marti, J., Cufi, X.,
(2002). “Yet another survey on image segmentation:
Region and boundary information integration”. European
Conf. Computer Vision. pp.408– 422.
[17]. Martin, D., Fowlkes, C., Malik, J., (2002). “Learning to
detect natural image boundaries using brightness and
texture”. Neural Information Processing Systems (NIPS).
[18]. Jianbo Shi and Jitendra Malik, (2000). "Normalized
Cuts and Image Segmentation". IEEE Transactions on
Pattern Analysis and Machine Intelligence. Vol. 22, No. 8,
pp. 888- 905.
[19]. Leo Grady, (2006). “Random Walks for Image
Segmentation". IEEE Transactions on Pattern Analysis and
Machine Intelligence. Vol. 28, No. 1, pp. 1768- 1783.
[20]. A. F. Costa, N. D. Mascarenhas, and M.L.D.A. Netto,
(1997). ”Cell Nuclei Segmentation in Noisy Images using
Morphological Watersheds”. Proc. of SPIE. Vol. 3164, pp.
314-324.
[21]. Y. Y. Wang, Y. N. Sun, C.C.K. Lin, and M.S. Ju, (2006).
”Nerve Cell Segmentation via Multi-Scale Gradient
Watershed Hierarchies”. Engineering in Medicine and
Biology Society.
