Applications-of-Image-Processing

About

In this project I have developed algorithms to segment out regions in images and produce mask images, and to enhance the quality of two images when mergerd (flash and non-flash images) and to detect material by analysing spectrogram obtained by sound of the material and implemented hough transformation and k- mean clusturing and algorithms like DCT to detect counterfeit images.

Technologies required

• python 3.10
• anaconda
• opencv-python==4.8.0.76
• scikit-image==0.21.0
• librosa==0.10.1

Environment Setup

For Ubantu/Mac install python3.10 and install module venv

$ sudo apt install python3 .10 - venv

create virtual environment

$ python3 -m venv ee604

activate environment and install required modules:

$ source ee604 / bin / activate
$ pip install -r requirements . txt

for windows, install anaconda and use following command to setup and activate environment and to install required modules:

$ conda create -n ee604 python =3.10 anaconda
$ conda activate ee604
$ conda install -c conda - forge opencv
$ conda install -c conda - forge librosa
$ conda install -c anaconda scikit - image