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Image Processing:
The Images are represented as grids, or matrices, of picture elements (known as pixels). In MATLAB an image usually is represented as a matrix in which each and every element corresponds to a pixel in the image. Each element which represents a particular pixel stores the color for that pixel. There are two basic ways by which the color can be represented:
For an image which has m × n pixels, the true color matrix would be a 3-dimensional matrix with the size m × n × 3. The first two dimensions show the coordinates of pixel. The third index is the color component; (:,:,1) is red, (:,:,2) is green, and (:,:,3) is the blue component.
The indexed presentation rather would be an m × n matrix of integers, all of which is an index into a colormap matrix which has the size p × 3 (where p is the number of colors available in that specific colormap).Each row in the colormap has three numbers presenting one color: first the red, then green, and then blue components. The illustration is as follows,
[1 0 0] is red
[0 1 0] is green
[0 0 1] is blue
etc.
Illustration of Subfunctions: This is an illustration of running this program: >> rectarea Please enter the length: 6 Please enter the width: 3 For a rectan
I have a 400x2 vel.dat and 20x2 xy.dat file, how can i plot a streamslice graph on matlab with this two files.
Related Structure Functions: There are many functions which can be used with structures in a MATLAB. The function isstruct will return 1 for logical true when the variable arg
Vector operations: As vectors are special cases of matrices, the matrix operations elaborated (addition, subtraction, multiplication, scalar multiplication, transpose) work on
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Example of Interpolation and extrapolation: The MATLAB has a function to do this, known as polyfit. The function polyfit finds the coefficients of the polynomial of the partic
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