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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 Variable scope: Running this function does not add any of variables to the workspace, as elaborated: >> clear >> who >> disp(mysum([5 9 1]))
Illustration of if - else statement: The one application of an if-else statement is to check for errors in the inputs to a script. For illustration, a former script prompted t
Interpolation and extrapolation: In most cases, it is desired to estimate values other than at the sampled data points. For illustration, we may want to estimate what the temp
Displaying the cell arrays: There are several techniques of displaying the cell arrays. The celldisp function shows all elements of the cell array: >> celldisp(cellro
Structures: The Structures are data structures which group together values which are logically related in what are known as the fields of structure. The benefit of structures
Plotting File data: It is frequently essential to read data from a file and plot it. Generally, this entails knowing the format of the file. For illustration, let us suppose t
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
Illustration of Gauss elimination: For illustration, for a 2 × 2 system, an augmented matrix be: Then, the EROs is applied to obtain the augmented matrix into an upper
deblank function: The deblank function eliminates only trailing blanks from the string, not leading the blanks. The strtrim function will eliminate both the leading and traili
Replacement : Replace a row by adding it to (or subtract from it) a multiple of the other row. For a given row ri, this is written as ri - srj → ri Note that when r
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