This handy desktop reference gathers together into one easy-to-use volume the most popular image processing algorithms. Designed to be used at the computer terminal, it features an illustrated, annotated dictionary format -- with clear, concise definitions, examples, and C program code. Covers algorithms for adaptive filters, coding and compression, color image processing, histogram operations, image fundamentals, mensuration, morphological filters, nonlinear filters, segmentation, spatial filters, spatial frequency filters, storage formats, and transforms. Includes graphic oriented techniques such as warping, morphing, zooming, and dithering. Provides algorithms for image noise generation. MARKETS: For users and developers of image processing systems and programs.
Divided into five major sections, this book provides the concepts and models required to analyze digital images and develop computer vision and human consumption applications as well as all the necessary information to use the CVIPtools ...
Fractal Geometry in Engineering Metrology, in Metrology and Properties of Engineering Surfaces (E. Mainsah et al., Eds.). Kluwer Academic Publishers, London, ... P. Russell, D. Batchelor (2001). SEM and AFM: Complementary techniques for ...
Written by John Russ, author of esteemed Image Processing Handbook now in its fifth edition, this book demonstrates functions to improve an image's of features and detail visibility, improve images for printing or transmission, and ...
2009. The pocket handbook of image processing algorithms in C, Prentice Hall Press, NJ. Niblack, W., Barber, R., Equitz, W., Flickner, M.D., Glasman, E.H., Petkovic, D., Yanker, P., Faloutsos, C., Taubin, G. and Heights, Y. 1993.
Classification of SAR images using a general and tractable multiplicative model.International journal of remote sensing, 24(18), 3565–3582. Myler, H. R., & Weeks, A. R. (1993). The pocket handbook of image processing algorithms in C.
Myler , Harley R. , and Arthur R. Weeks , The Pocket Handbook of Image Processing Algorithms in C , PTR Prentice Hall , Englewood Cliffs , NJ , 1993 . Pitas , Ioannis , Digital Image Processing Algorithms , Prentice Hall , New York ...
Pocket Handbook of Image Processing Algorithms in C H. R. Myler and A. R. Weeks , Prentice Hall , 1993 Reference for a wide range of imaging algorithms . Tested C code for algorithms with cross - reference by class , subject , and ...
Rule for recognising numbers such as "six hundred and fifty two" numeral --> [X], [hundred], [and], [Y], [Z], { phrase (units, [X]), % Note: Parser used inside Prolog phrase (tens, [Y]), % Parser inside Prolog to check "tens" phrase ...
Jaehne B. , Haussecker H. , Geissler P. Handbook of Computer Vision and Applications , Volume 3 : Systems and Applications . Prentice Hall , 1999 . 39. Myler H. R. , Weeks A. R. The Pocket Handbook of Image Processing Algorithms in C.
Several approaches were proposed to overcome the disadvantages of the FDTD method [3]. ... widespread implementations of FDTD method (such as Meep [6], XFDTD [7], CFDTD [8]) have only limited support of these advanced FDTD methods.