Liu â€å“a Review of Computer Vision Segmentation Algorithmsã¢â‚¬â
A. Ardeshir Goshtasby, (2008) ii-D and iii-D Image Registration for Medical Remote Sensing. /E-Books/Mei Sheng - Calculus/.
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Abstract
bImage registration is the process of spatially adjustment two or more images of a scene. This basic capability is needed in diverse image analysis applications. The alignment process will determine the correspondence between points in the images, enabling the fusion of data in the images and the conclusion of scene changes. If identities of objects in one of the images are known, by registering the images, identities of objects and their locations in another epitome can be determined. Image registration is a disquisitional component of remote sensing, medical, and industrial image assay systems. This book is intended for image analysis researchers also as graduate students who are starting research in image assay. The volume provides details of image registration, and each chapter covers a component of image registration or an application of it. Where applicable, implementation strategies are given and related work is summarized. In Affiliate i, the main terminologies used in the book are defined, an case of image registration is given, and image registration steps are named. In Chapter 2, preprocessing of images to facilitate image registration is described. This includes prototype enhancement and image sectionalization. Prototype enhancement is used to remove noise and mistiness from images and image segmentation is used to partition images into regions or extract region boundaries or edges for use in feature selection. Chapters 3â€â€Å"5 are considered the main capacity in the volume, roofing the image registration steps. In Affiliate three, methods and algorithms for detecting points, lines, and regions are described, in Affiliate iv, methods and algorithms for determining the correspondence between two sets of features are given, and in Chapter five, transformation functions that employ feature correspondences to determine a mapping function for image alignment are discussed. In Chapter six resampling methods are given and in Affiliate 7 functioning evaluation measures, including accuracy, reliability, robustness, and speed are discussed. Chapters 8â€â€Å"x cover applications of epitome registration. Affiliate eight discusses cosmos of intensity and range image mosaics by registering overlapping areas in the images, and Chapter nine discusses methods for combining information in two or more registered images into a unmarried highly informative image. In particular, fusion of multi-exposure and multi-focus images is discussed. Finally, Chapter x discusses registration of stereo images for depth perception. Camera scale and correspondence algorithms are discussed in detail and examples are given. Some of the discussions such equally stereo depth perception apply to only 2-D images, but many of the topics covered in the book can be applied to both 2-D and iii-D images. Therefore, discussions on ii-D epitome registration and 3-D paradigm registration go along in parallel. First the 2-D methods and algorithms are described then their extensions to three-D are provided. This book represents my own experiences on epitome registration during the by xx years. The main objective has been to comprehend the fundamentals of image registration in particular. Applications of prototype registration are not discussed in depth. A large number of application papers appear annually in Proc. Calculator Vision and Pattern Recognition, Proc. Int’l Conf. Figurer Vision, Proc. Int’l Conf. Pattern Recognition, Proc. SPIE Int’l Sym. Medical Imaging, and Proc. Int’l Sym. Remote Sensing of Environment. Image registration papers oftentimes announced in the post-obit journals: Int’50 J. Computer Vision, Computer Vision and Epitome Understanding, IEEE Trans. Pattern Analysis and Machine Intelligence, IEEE Trans. Medical Imaging, IEEE Trans. Geoscience and Remote Sensing, Image and Vision Calculating, and Blueprint Recognition. The figures used in the book are bachelor online andmay be obtained by visiting the website http://www.imgfsr.comook.html. The software implementing the methods and algorithms discussed in the book can be obtained by visiting the same site. Any typographical errors or errata establish in the book volition besides exist posted on this site. The site likewise contains other sources of data relating to image registration
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Gambar, ii-D, 3-D, Medical remote sensing |
| Depositing User: | Edi Prasetya [edi_hoki] |
| Final Modified: | 04 May 2012 23:39 |
| URI: | http://digilib.uin-suka.air conditioning.id/id/eprint/641 |
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