Implementation of various image processing methods from scratch in python.

Cataract detection model

DeepSee is an image processing project that applies advanced spatial and frequency domain techniques for filtering, segmentation, boundary detection, and facial recognition. It features a responsive GUI with multiprocessing, multithreading, and both dark and light modes.

This project utilizes a software pipeline to identify the lane boundaries in a video.

License plate detection using Python and OpenCV(a python library). Image processing techniques are used to locate and detect the license plate and Optical Character Recognition is used to extract the License number.

A computer vision project for detecting a persons gaze direction using a low-fidelity Pepper robot camera.

Image Thresholding is an implementation of the Otsu and binary image thresholding algorithms. 2020.

Computer Vision project (2021)

A Python project to explore image processing: object and colour detection.

DjVu encoder with foreground/background separation

Instead of coding every thresholding method you might try on the image, you can upload it to the web app and try it easily.

IMAGE PROCESSING PROJECT