loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Yuji Iwahori 1 ; Seiya Tsuda 1 ; Robert J. Woodham 2 ; M. K. Bhuyan 3 and Kunio Kasugai 4

Affiliations: 1 Chubu University, Japan ; 2 University of British Columbia, Canada ; 3 Indian Institute of Technology Guwahati, India ; 4 Aichi Medical University, Japan

ISBN: 978-989-758-077-2

Keyword(s): Endoscope Image, VBW Model, RBF-NN, Shape Modification, Reflection Factor.

Related Ontology Subjects/Areas/Topics: Applications ; Medical Imaging ; Pattern Recognition ; Sensors and Early Vision ; Shape Representation ; Software Engineering

Abstract: The VBW (Vogel-Breuß-Weickert) model is proposed as a method to recover 3-D shape under point light source illumination and perspective projection. However, the VBW model recovers relative, not absolute, shape. Here, shape modification is introduced to recover the exact shape. Modification is applied to the output of the VBW model. First, a local brightest point is used to estimate the reflectance parameter from two images obtained with movement of the endoscope camera in depth. After the reflectance parameter is estimated, a sphere image is generated and used for Radial Basis Function Neural Network (RBF-NN) learning. The NN implements the shape modification. NN input is the gradient parameters produced by the VBW model for the generated sphere. NN output is the true gradient parameters for the true values of the generated sphere. Depth can then be recovered using the modified gradient parameters. Performance of the proposed approach is confirmed via computer simulation and real expe riment. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.173.36

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Iwahori , Y.; Tsuda, S.; Woodham, R.; Bhuyan, M. and Kasugai, K. (2015). Improvement of Recovering Shape from Endoscope Images Using RBF Neural Network.In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 62-70. DOI: 10.5220/0005206800620070

@conference{icpram15,
author={Yuji Iwahori . and Seiya Tsuda. and Robert J. Woodham. and M. K. Bhuyan. and Kunio Kasugai.},
title={Improvement of Recovering Shape from Endoscope Images Using RBF Neural Network},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={62-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005206800620070},
isbn={978-989-758-077-2},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Improvement of Recovering Shape from Endoscope Images Using RBF Neural Network
SN - 978-989-758-077-2
AU - Iwahori , Y.
AU - Tsuda, S.
AU - Woodham, R.
AU - Bhuyan, M.
AU - Kasugai, K.
PY - 2015
SP - 62
EP - 70
DO - 10.5220/0005206800620070

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.