By Alasdair McAndrew
Read or Download An Introduction to Digital Image Processing with MATLAB (draft) PDF
Best software: systems: scientific computing books
MAPLE is a working laptop or computer algebra approach which, due to an intensive library of subtle features, allows either numerical and formal computations to be played. until eventually lately, such platforms have been merely to be had to expert clients with entry to mainframe desktops, however the fast development within the functionality of private desktops (speed, reminiscence) now makes them obtainable to the vast majority of clients.
Computational color technology utilizing MATLAB second variation deals a realistic, problem-based method of color physics. The e-book specializes in the main matters encountered in sleek color engineering, together with effective illustration of color info, Fourier research of reflectance spectra and complex colorimetric computation.
MATLAB for Neuroscientists serves because the basically entire research handbook and educating source for MATLAB, the globally authorised ordinary for medical computing, within the neurosciences and psychology. This distinctive creation can be utilized to benefit the total empirical and experimental procedure (including stimulus new release, experimental regulate, facts assortment, information research, modeling, and more), and the 2d version maintains to make sure that many computational difficulties might be addressed in one programming atmosphere.
- Angewandte Mathematik mit Mathcad Lehr- und Arbeitsbuch: Band 1 Einfuhrung in Mathcad
- Nonlinear Distortion in Wireless Systems: Modeling and Simulation with MATLAB®
- IEEE Adaptive Filters in MATLAB From Novice to Expert
- Bildverarbeitung fur Einsteiger: Programmbeispiele mit Mathcad
Extra resources for An Introduction to Digital Image Processing with MATLAB (draft)
26. 26(b). A very disappointing image! But this is to be expected; in a matrix of type uint8, white is 255, 0 is black, and 1 is a very dark grey–indistinguishable from black. 26. 30 CHAPTER 1. 17 Bit planes Greyscale images can be transformed into a sequence of binary images by breaking them up into their bit-planes. If we consider the grey value of each pixel of an 8-bit image as an 8-bit binary word, then the 0th bit plane consists of the last bit of each grey value. Since this bit has the least effect in terms of the magnitude of the value, it is called the least significant bit, and the plane consisting of those bits the least significant bit plane.
18 Spatial Resolution Spatial resolution is the density of pixels over the image: the greater the spatial resolution, the more pixels are used to display the image. 18. 27: The bit planes of an 8-bit greyscale image 32 CHAPTER 1. INTRODUCTION imresize function. Suppose we have an Then the command ✜ ✪ ✜ ✪ ✣ 8-bit greyscale image saved to the matrix x. imresize(x,1/2); will halve the size of the image. It does this by taking out every other row and every other column, thus leaving only those matrix elements whose row and column indices are even: ☛ ☛ ✔ ☛ ☛ ☎ ☛ ✌ ☛ ✄ ☛ ✌ ✗☎ ☛ ☛ ☛ ✂☎ ☛ ✕✄ ☛ ..
We have seen examples of this above with scaling. Corresponding to the functions double and im2double are the functions uint8 and im2uint8. If we take our image cd of type double, properly scaled so that all elements are between 0 and 1, we can convert it back to an image of type uint8 in two ways: >> c2=uint8(255*cd); >> c3=im2uint8(cd); Use of im2uint8 is to be preferred; it takes other data types as input, and always returns a correct result. Binary images Recall that a binary image will have only two values: 0 and 1.