2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications
To master the fundamentals of image registration, there is no more comprehensive source than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of image registration, the author presents their underlying algorithms. You'll also discover cutting-edge techniques to use in remote sensing, industrial, and medical applications. Examples of image registration are presented throughout, and the companion Web site contains all the images used in the book and provides links to software and algorithms discussed in the text, allowing you to reproduce the results in the text and develop images for your own research needs. 2-D and 3-D Image Registration serves as an excellent textbook for classes in image registration as well as an invaluable working resource.
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accuracy algorithm Analysis and Machine approximation B-spline bilinear interpolation blending functions camera centered coefﬁcients color computational complexity Computer Vision coordinate system corners corners detected corresponding points cubic convolution curve deﬁned density determined difference between images distance transform edge detection entropy epipolar lines equations errors ﬁnding ﬁrst ﬁtting ﬂat Fourier transform fusion geometric difference global Goshtasby gradient magnitudes Hausdorff distance Hough transform IEEE Trans image intensities Image Processing image registration input interpolation inverse ﬁltering label large number least-squares locally maximum measure medical images methods mosaic neighborhood noise nonlinear Pattern Analysis Pattern Recognition pixels Proc produce projective transformation radial basis functions range images rectiﬁcation reference image regions register the images registration algorithm reliability represent resampling right image segmentation selected sensed image shape shown in Fig shows similarity smoothing spline standard deviation stereo images sufﬁcient surface template matching threshold value transformation function transformation parameters voxels weighted sum window zero-crossings
Page 249 - Validation of nonrigid image registration using finite-element methods: application to breast MR images.
Page 253 - KS Holton, RA Robb, U. Taneja, and JE Gray, "The evaluation of 3D multimodality image registration using ROC analysis," in SPIE Proceedings in Medical Imaging, Image Perception, H. Kundel, ed., 2436, pp. 90-104, 1995. 10.