This package is built to combine all the steps that are done as part of the frequency analysis using the Fourier transform approach.

Install the Package

You can install the package using the pip command

!pip install image_frequency_analysis - when installing through jupyter notebook

pip install image_frequency_analysis - when installing through a command prompt

Using the package

Once you have installed you can use the package by importing the image_frequency_analysis method from the package

import image_frequency_analysis as ifa

You can then pass the image path to the function which is a required argument, to get the plot of comparison between the original image and the filtered image

Example:

obj = ifa.FrequencyAnalysis('car_image.jpg')

output = obj.perform_image_frequency_analysis()

By default the package uses the high pass filter to perform the filtering of the image. This option can be overridden using the optional parameters that can be sent to the function.

You can find the various optional parameters and their usage in the package using the help command.

help(ifa.FrequencyAnalysis) or looking through the docstring directly in the IDE

Sample Output

Output with default parameters

Output with Modified Parameters