A multiscale elastic registration scheme for retinal angiograms

Richard, 1998, Fluorescein and ICG angiography, Thieme J. W. Berger, M. E. Leventon, N. Hata, W. Wells, and R. Kinikis, Design considerations for a computer-vision-enabled ophtamic augmented reality environment, in: Lecture Notes in Computer Science, 1205, 1999 pp. 399–410 Can, 1999, Robust hierarchical algorithm for constructing a mosaic from images of the curved human retina, IEEE Conf. Comput. Vision Pattern Recogn., 22, 417 Hampson, 2000, Motion estimation in the presence of illumination variations, Signal Process.: Image Commun., 16, 373, 10.1016/S0923-5965(00)00002-3 Mukhopadhyay, 2001, Fusion of 2D grayscale images using multiscale morphology, Pattern Recogn., 34, 1939, 10.1016/S0031-3203(00)00123-0 Pinz, 1998, Mapping the human retina, IEEE Trans. Med. Imag., 17, 606, 10.1109/42.730405 Ritter, 1999, Registration of stereo and temporal images of the retina, IEEE Trans. Med. Imag., 18, 404, 10.1109/42.774168 Simó, 2001, Segmentation of macular fluorescein angiographies. A statistical approach, Pattern Recogn., 34, 795, 10.1016/S0031-3203(00)00032-7 Zana, 1999, A multimodal registration algorithm of eye fundus images using vessels detection and hough transform, IEEE Trans. Med. Imag., 18, 419, 10.1109/42.774169 Peters, 1995, A new algorithm for image noise reduction using mathematical morphology, IEEE Trans. Image Process., 4, 554, 10.1109/83.382491 D. Wang and C. Labit, Morphological spatio–temporal simplification for video image segmentation, presented at Signal Processing: Image Communication, 1997. Bangham, 1996, Morphological scale-space preserving transforms in many dimensions, J. Electronic Imaging, 5, 283, 10.1117/12.243349 Thackray, 1993, Semi-automatic segmentation of vascular network images using a rotating structuring element (ROSE) with mathematical morphology and dual feature thresholding, IEEE Trans. Med. Imag., 12, 385, 10.1109/42.241865 Yongdong, 1997, Noise removal and feature extraction based on multiscale morphological filtering, Chinese J. Electronics W.E. Hart and M.H. Goldbaum, Registering retinal images using automatically selected control point pairs, presented at IEEE International Conference on Image Processing, 1994 Kim, 2001, Moving object segmentation in video sequences by user interaction and automatic object tracking, Image Vision Comput., 19, 245, 10.1016/S0262-8856(00)00074-3 L. Vincent, Morphological grayscale reconstruction in image analysis: applications and efficient algorithms, technical report 91–16, Harvard Robotics Laboratory, November 1991, IEEE Trans. Image Process. 2 (1993) 176–201 Sternberg, 1986, Grayscale morphology, Comput. Vision Graph. Image Process., 35, 333, 10.1016/0734-189X(86)90004-6 Serra, 1988 Chen, 1991, A multiscaling approach based on morphological filtering, IEEE Trans. Pattern Anal. Mach. Intell., 11, 694, 10.1109/34.192464 Song, 1992, A study of the generalized morphological filter, Circuits, Syst. Signal Process., 11, 227, 10.1007/BF01189228 Mukhopadhyay, 2002, An edge preserving noise smoothing technique using multiscale morphology, Signal Process., 82, 527, 10.1016/S0165-1684(01)00143-8 Toet, 1990, A hierarchical morphological image decomposition, Pattern Recogn., 11, 163 Agam, 1996, Adaptive directional morphology with application to document analysis L. Floreby, F. Sattar, and G. Salomonsson, Image enhancement by morphological pyramid decomposition and modified reconstruction, presented at Proceedings of the IEEE ICASSP'97, Munich, Germany, 1997 Chanda, 1998, A multi-scale morphologic edge detector, Pattern Recogn., 31, 1469, 10.1016/S0031-3203(98)00014-4 Matsopoulos, 1999, Automatic retinal image registration scheme using global optimization techniques, IEEE Trans. Inform. Tech. Biomed., 3, 47, 10.1109/4233.748975 Irani, 1994, Computing occluding and transparent motion, IJCV, 12, 5, 10.1007/BF01420982 J.M. Odobez and P. Bouthemy, Robust multi-resolution estimation of parametric motion models applied to complex scenes, IRISA, Technical Report, vol. 788, 1994 Zhang, 2001, A hybrid image registration technique for a digital camera image fusion application, Information Fusion, 2, 135, 10.1016/S1566-2535(01)00020-3 Barron, 1994, Performance of optical flow techniques, Intl. J. Comput. Vision, 12, 43, 10.1007/BF01420984 Stiller, 1999, Estimating motion in image sequences: a tutorial on modeling and computation of 2D motion, IEEE Signal Process. Magazine, 16, 70, 10.1109/79.774934 N. Ritter, R. Owens, K. Yogesan, and P.P.v. Saarloos, The application of mutual information to the registration of stereo and temporal images of the retina, in: Advanced Topics in Artificial Intelligence: 10th Australian Joint Conference on Artificial Intelligence, AF97, Abdul Sattar (Ed.), Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence, 1342, 1997 pp. 67–76 Stiller, 1987, Morphological filters: statistics and further synthatic properties, IEEE Trans. Circuits Syst., 34, 1292, 10.1109/TCS.1987.1086067 S. Negahdaripour and C.H. Yu, A generalized brightness change model for computing optical flow, presented at Proceedings of the 4th International Conference on Computer Vision, Berlin, 1993 Nomura, 2000, Spatio–temporal optimization method for determining motion vectors fileds under non-stationary illuminations, Image Vision Comput., 18, 939, 10.1016/S0262-8856(99)00081-5 Haussecker, 2001, Computing optical flow with physical models of brigthness variation, IEEE Trans. Pattern Anal. Mach. Intell., 23, 661, 10.1109/34.927465 A. Roche, G. Malandain, N. Ayache, and S. Prima, Towards a better comprehension of similarity measures used in medical image registration, presented at MICCAI, 1999