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Sprache: Englisch
Verlag: LAP Lambert Academic Publishing Okt 2016, 2016
ISBN 10: 3659959081 ISBN 13: 9783659959080
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -This work is motivated by the potential and promise of image fusion technologies in the multi-sensor image fusion system. The aim of this research is to focus on multi-sensor pixel level image fusion for medical application due to its significance of medical field. Medical fusion methods are only a possible way that able to combine correlating information of multiple images into a single image to explore the possibility of data reduction and improvement of information density. The dissertation explores the possibility of using Stationary Wavelet approach in image fusion and further optimization using Genetic Algorithm and Particle Swarm Optimization. The comparative analysis of Stationary wavelet transform combined with optimization algorithm has been performed with several sets of computed Tomography (CT) scan and Magnetic Resonance imaging (MRI) images using MATLAB. Improve statistics results are obtained in terms of peak signal to noise ratio (PSNR), entropy, root mean square error (RMSE), edge strength, mutual information.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Feb 2017, 2017
ISBN 10: 3330036761 ISBN 13: 9783330036765
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -In this work, technique is proposed to identify dust particles from the camera image. The dust particles on the image are the small noise on the image which is raised when the picture is clicked and at that time dust is there on the lens of camera. In the previous work, salient based bottom up method is applied which will analyze various pixels of the image. The bottom up method will generate salient object on the basis of similarity of the pixels in the image. The pixels which are similar have one matrix and pixels which have dissimilarity have different matrices. To improve accuracy of dust particle detection, ITTI-KOCH algorithm is used in the proposed work. In the algorithm, saliency is designed in which properties of the image is analyzed and pixels which have dissimilarity are put into different matrices and that matrices pixels are marked as noise in the image.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Sep 2017, 2017
ISBN 10: 6202025077 ISBN 13: 9786202025072
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -In this book, a segmentation method for automatic detection and extraction of brain tumor from Magnetic Resonance Imaging (MRI) images using fuzzy c-means (FCM) clustering and seeded region growth is being presented. The MRI technique provides an excellent contrast between the brain tissues and the tumour tissues. The area containing the tumour is brighter in intensity than the area of healthy brain tissues. The image processing techniques and algorithms are applied on the MRI images of the brain tumour. These images are provided as input to the MATLAB software and pre-processing operations viz., image resizing and conversion to grayscale are applied on this input image. The image is then enhanced using the two-dimensional wavelet decomposition in such a way that the finer details in the image are improved. After the enhancement operation, fuzzy c-means clustering (FCM) is applied for segmentation, which divides the image into a number of clusters, on the basis of intensity values of the pixels.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Aug 2017, 2017
ISBN 10: 6202005866 ISBN 13: 9786202005869
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -Image fusion is a technique that integrate complimentary details from multiple input images such that the new image give more information and more suitable for the purpose of human visual perception. Nearly all block-based transform schemes for image and video coding developed so far choose the 2-D discrete cosine transform (DCT) of a square block shape. With almost no exception, this conventional DCT is implemented separately through two 1-D transforms, one along the vertical direction and another along the horizontal direction. We develop a new block-based DCT framework in which the first transform may choose to follow a direction other than the vertical or horizontal one. The coefficients produced by all directional transforms in the first step are arranged appropriately so that the second transform can be applied to the coefficients that are best aligned with each other. Compared with the conventional DCT, the resulting directional DCT framework is able to provide a better coding performance for image blocks that contain directional edges-a popular scenario in many image signals.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Apr 2016, 2016
ISBN 10: 365988250X ISBN 13: 9783659882500
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -Image processing and analysis algorithms are widely used in medical systems to analyze medical images for diagnose the disease of a patient. This book covers one of the demanding problems of a medical system: Stitching of X-ray Images. The flat panel of an X-ray system cannot cover all parts of a body, So Image stitching is incorporated in the medical system to combine two or more X-ray images and get a single high resolution image. Image Stitching is a process of basically combining two or more images to form a panoramic image. Stitching includes two main parts: Image matching and Image blending. For Image Matching two algorithms are used SIFT and SURF. SIFT is more effective algorithm for scale and rotational image stitching but it cannot cope with illumination variation whereas SURF method provides better computation speed and it has the distinctive property of illumination invariance. So if responses from SIFT and SURF based algorithm combines they regenerates a panoramic image having the best features of both the algorithm.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.