MATLAB: Advantages/Disadvantages of using and not using a gaussian filter

filterimage processingnoise

Usually and conceptually, when it comes to noise removal for a picture with gaussian noise, what are the advantages and disadvantages between using a gaussian averaging filter and not filtering the image at all?

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hi ,

For more details refer to : http://www.intelligence.tuc.gr/~petrakis/courses/computervision/filtering.pdf

Properties of Gaussian Filtering :

•Gaussian smoothingis very effective for removing Gaussian noise

•The weightsgive higher significance to pixels near the edge (reduces edge blurring)

•They are linearlow pass filters

•Computationally efficient(large filters are implemented using small 1D filters)

•Rotationally symmetric(perform the same in all directions)

•The degree of smoothingis controlled by σ(larger σfor more intensive smoothing)

So in general, you have many possibilities : try Gaussian filter, and compare it with other algorithms such as Wiener filter, Median filter( circular, rectangular, diagonal,...), Gabor Filter, Kalman filter ,...

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MATLAB: How to get matlab to save acquired user input in a file/profile

You have plenty of options:

Collect your input however you want into some variables (cell arrays, matrices, tables, whatever) and save these in a .mat file with save. To get the data back, just load the .mat file. Advantage: dead simple. Disadvantages: can only be read by matlab. Have to read or write everything at once.
Same, but use a .mat file per user, and another main.mat file to keep track of the individual files. Advantages: fairly simple. A file per user. Disadvantage: can only be read by matlab.
Save your data in a table. And use writetable, readtable to save/restore the data. Advantages: fairly simple, nice organisation of the data. Can be read by other software. Disadvantage: Everything in one file
Save and read the data yourself using low level functions. Advantage: Use whatever format you wish (xml, json, etc.). Disadvantages: More code to write
Save the data in a database. Advantage: Exactly designed for this type of storage. Disadvantages: requires the database toolbox or a fair amount of coding using COM or .Net interface.
Use OOP, with objects representing your data. And save these objects as .mat file. Advantages: OOP advantages: encapsulation, inheritance, etc. Disadvantages: require a fair amount of coding.

MATLAB: Blackman FIR bandpass filter design

Hi olga,

There is a subtle difference between the specification of an IIR filter and an FIR filter. Because you are designing an FIR filter, you need to use 'N,Fc1,Fc2' instead of 'N,F3dB1,F3dB2'. Here is an example

h = fdesign.bandpass
h.Specification = 'N,Fc1,Fc2'
Hd = window(h,'window',@blackman)
fvtool(Hd)

HTH,

Honglei

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MATLAB: How to get matlab to save acquired user input in a file/profile

MATLAB: Blackman FIR bandpass filter design

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