A simple algorithm to perform lane detection and turn prediction for a self driving car
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Updated
Jan 21, 2022 - Python
A simple algorithm to perform lane detection and turn prediction for a self driving car
Train a probabilistic color model to recognize recycling-bin blue color and use it to segment unseen images into blue regions.
The project is designed to segment an image into rover, background, and shadows using a stepwise image processing algorithms. This includes color space conversion, blurring, normalization, optional contrast enhancement, feature reshaping, k-means clustering, mask merging, and morphological refinement.
Using a neural network for obstacle detection and localization in the Turtlebot3 robot environment.
This project aims at performing a segmentation of each frame of 4 given videos using two possible methods, one based on multiple OpenCv tools, and one on the OpenCV's Watershed implementation.
Computer Vision Operations for Manipulation of Data
Solutions to Practical Labs in the Image Processing course on various topics.
A Python Implementation of "Opening and Closing Surfaces"
Various coding solutions to computer vision problems using MATLAB.
The Video Subtitles Detector is designed to detect and highlight subtitles within a video. It identifies the area containing the subtitles by drawing bounding boxes around them and further detects the location of each word within the subtitles. The program processes the video using basic filters and morphological operations.
Using morphological image processing and easyOCR to recognize license plates; Demonstrating the realtime detection with webcam in Google Colab.
detecting fruits in images and giving each one its name , the project was achieved using matlab
Collection of image processing modules like foreground extraction, contour extraction, histogram manipulation.
This script finds the edges of a conveyor band in a given image.
Coding solutions to multiple image processing problems like distance calculation, noise, contrast, and compression using different techniques like Distance Transform, Low-Pass Filters, Morphological Operators, and LZW Compression
This repository contains the implementation of various DIP methods.
OpenCV 4 practice
Soda cap detection
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