This program demonstrates the usage of cosine similarity in designing an object detection algorithm
-
Updated
Nov 9, 2022 - C
This program demonstrates the usage of cosine similarity in designing an object detection algorithm
This repository contains MATLAB scripts for performing basic image processing tasks on grayscale images, including brightness and contrast adjustments, negative image creation, and arithmetic operations (addition, subtraction, multiplication, division) between two images.
Using openCV to preprocess training data before it is fed into a deep neural network. Using openCV to identify lane lines
Analyzes image histograms, performs histogram equalization, and compares grayscale images.
This repository contains MATLAB scripts for fundamental image processing tasks, including RGB-to-grayscale, indexed, and binary image conversions. It also includes tasks such as generating black, white, and contrast-inverted images, as well as plotting a 2D function.
Add a description, image, and links to the grayscale-conversion topic page so that developers can more easily learn about it.
To associate your repository with the grayscale-conversion topic, visit your repo's landing page and select "manage topics."