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Mathematical morphology and its applications to image and signal processing by Goutsias J., Vincent L., Bloomberg D.

Mathematical morphology and its applications to image and signal processing Goutsias J., Vincent L., Bloomberg D. ebook
Publisher: Kluwer
Format: djvu
Page: 456
ISBN: 0792378628, 9780792378624

Jean-Luc Starck, Fionn Murtagh, Jalal M. Fadili, "Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity" Cge University Press | 3131 | ISBN: 1633339339 | 336 pages | PDF | 39,6 MB This book in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. CalloseMeasurer is a new software solution for batch-processing large image data sets to quantify callose deposition in plants. Intensity and spatial distribution of HD-EMG maps could be useful in applications where the identification of movement intention and its strength is needed, for example in robotic-aided therapies or for devices like powered- prostheses or orthoses. Rao KNRM: Application of mathematical morphology to biomedical image processing. Proc IEE Semin Med Appl of Signal Process, London, UK 2002. Shih http://web.njit.edu/~shih offers an overview of morphological mechanisms and Shih's new text will help readers analyze key principles and architectures and then use the author's novel ideas on implementation of advanced algorithms to formulate a practical and detailed plan to develop and foster their own ideas. According to Wikipedia, morphological operations rely only on the relative ordering of pixel values, not on their numerical values, and therefore are especially suited to the processing of binary images. The image-based method presented here is designed to automate the process of enumeration and identification; with the main advantage being its ability to carry out the diagnosis in an unsupervised manner and yet have high sensitivity and thus reducing cases of false negatives. Image Processing and Mathematical Morphology: Fundamentals and Applications, a reference book by NJIT computer science professor Frank Y.