light-distribution-analysis 0.1.1.1

Analyze the flux of images based on wavelength and frequency

Light-Distribution-Analysis

Overview

Light-Distribution-Analysis is a Python package that enables you to analyze the flux of images based on their wavelength and frequency. By utilizing OpenCV, NumPy, and Matplotlib, this package provides a simple yet effective way to process and save images as well as calculate flux values.

Features

• Convert RGB images to wavelength and frequency representations.
• Calculate the flux of images in terms of both wavelength and frequency.
• Save processed images and flux values.
• Export flux data to a CSV file for further analysis.

Installation

To install Light-Distribution-Analysis, run the following command in your terminal:

pip install light-distribution-analysis

Usage

Comparing Flux of Two Images The package includes a function compare_flux that allows you to compare the flux of two images and obtain a similarity score.

Here's a simple example to demonstrate its usage:

1. Import the package:

import light_distribution_analysis as lda

2. Provide Paths to Images:

Provide the paths to the two images you want to compare.

image_path1 = "path/to/your/first/image.jpg"
image_path2 = "path/to/your/second/image.jpg"

3. Compare the Flux:

Use the compare_flux function to compare the flux of the two images.

similarity_score = lda.compare_flux(image_path1, image_path2)

Interpreting the Similarity Score:

A similarity score close to 1 indicates that the images are highly similar in terms of their flux, whereas a score close to 0 suggests they are dissimilar.