Abstract
Examination inside an intestine by an endoscope is difficult and time consuming, because the whole image of the intestine cannot be taken at one time due to the limited field of view. Thus, it is necessary to generate a dissection image, which can be obtained by extending the image of an intestine. We acquire an annular image sequence with an omnidirectional or wide-angle camera, and then generate the dissection image by mosaicing the image sequence. Though usual mosaicing techniques transform an image by perspective or affine transformations, these are not suitable for our situation because the target object is a generalized cylinder and the camera motion is unknown a priori. Therefore, we propose a novel approach for image registration that deforms images by a two-dimensional-polynomial function which parameters are estimated from optical flow. We evaluated our method by registering annular image sequences and we successfully generated dissection images, as presented in this paper.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cohen, L., Cohen, I.: Finite-element methods for active contour models and balloons for 2-d and 3-d images. PAMI 15(11), 1131–1147 (1993)
Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. In: Burkhardt, H., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1407, pp. 484–498. Springer, Heidelberg (1998)
Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L., Mo, L., Hawkes, D.J.: Nonrigid registration using free-form deformations: application to breast mr images. IEEE Transactions on Medical Imaging 18(8), 712–721 (1999)
Daniilidis, K., Geyer, C.: Omnidirectional vision: Theory and algorithms. In: ICPR, pp. 1089–1096 (2000)
Fischler, M., Bolles, R.: Random sampling consensus: a paradigm for model fitting with application to image analysis and automated cartography. Commun. Assoc. Comp. Mach. 24(6), 381–395 (1981)
Gee, J., Haynor, D.: Numerical methods for high dimensional warps (1998)
Hartley, R.: In defense of the eight-point algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(6), 580–593 (1997)
Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proc. International Joint Conference on Artificial Intelligence, pp. 674–679 (1981)
Peleg, S., Herman, J.: Panoramic mosaics by manifold projection (1997)
Pollefeys, M.: Self-calibration and metric 3D reconstruction from uncalibrated image sequences. PhD thesis, ESAT-PSI, K.U.Leuven (1999)
Shi, J., Tomasi, C.: Good features to track. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 593–600 (1994)
Swaminathan, R., Nayar, S.K.: Nonmetric calibration of wide-angle lenses and polycameras. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10), 1172–1178 (2000)
Szeliski, R.: Image mosaicing for tele-reality applications. In: WACV 1994, pp. 44–53 (1994)
Tang, S., Jiang, T.: Nonrigid registration of medical image by linear singular blending techniques. Pattern Recogn. Lett. 25(4), 399–405 (2004)
Zhang, Z.: Determining the epipolar geometry and its uncertainty: A review. International Journal of Computer Vision 27(2), 161–195 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pongnumkul, S., Sagawa, R., Echigo, T., Yagi, Y. (2005). Deformable Registration for Generating Dissection Image of an Intestine from Annular Image Sequence. In: Liu, Y., Jiang, T., Zhang, C. (eds) Computer Vision for Biomedical Image Applications. CVBIA 2005. Lecture Notes in Computer Science, vol 3765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569541_28
Download citation
DOI: https://doi.org/10.1007/11569541_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29411-5
Online ISBN: 978-3-540-32125-5
eBook Packages: Computer ScienceComputer Science (R0)