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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.
Defined a variable in work space: The variables defined in the script will become a part of the workspace: >> clear >> who >> mysummfile 15 >> who
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Function used in binary search: The function below implements this binary search algorithm. It receives two arguments: the sorted vector and a key (on the other hand, the func
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Function iscellstr - string function: The function iscellstr will return the logical true when a cell array is a cell array of all the strings, or logical false if not. >>
Illustration of Image processing: This displays that there are 64 rows, or in another word, 64 colors, in this specific colormap. It also displays that the first five colors a
i have a matlab project
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