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
Collection of Matalb algorithms implemented by me that carry out the computer vision operations like the following.
Train a probabilistic color model to recognize recycling-bin blue color and use it to segment unseen images into blue regions.
The project is a part of the Series Visualizing the Code with Geekosophers which is designed to give users the ability to visualize different morphological operations which includes- Dilation, Erosion, Opening and Closing.
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.
Program built using C++ and openCv library to perform morphology operations to enhance the quality on medical images
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.
Computer Vision Operations for Manipulation of Data
This repository includes basics of image processing with OpenCV and image processing projects.
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.
Evolves a string of morphological operators for CNN training on the CIFAR-10 dataset.
Multilabel and Grey 3D morphological image processing functions. Dilate, Erode, Opening, Closing.
Codes written for assignments of CS60052 (Spring'20)
detecting fruits in images and giving each one its name , the project was achieved using matlab
This is a web based application which takes as input the image of a handdrawn flow chart with text and polygonal hapes, and digitailzes it.
Collection of image processing modules like foreground extraction, contour extraction, histogram manipulation.
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