A Lane Detection program that implements Hough Lines and Canny Edge Detection from the OpenCV library of Python-3

Image processing tips for Computer Vision and Deep Learning tasks

Histogram equalization is the method where all gray levels contains ideally equally number of pixels. Histogram equalization increases the dynamic range of the histogram of an image. OpenCV library for Python is used to equalize the input image. Histogram equalization is also done for the required region of interest (ROI).

Vehicle number plate identification using open cv ,easyocr

Image manipulation is to change the color of the image to create interesting visual effects

To read the given Sergei Prokudin Gorsky image file,perform simple mathematical computations on images and reconstruct using image pyramids and perform image adjustments such as improving contrast,brightness etc. and produce a clear image output

A test script for my colour manipulation library for grayscaling bitmaps for open.mp and SA-MP.

Image Processing - Grayscale

Intro to Image processing -Gray scale images

Converting color to grayscale with Python

Image Processing Pipeline: Enhance, rotate, extract features, and segment characters in images for text recognition and enhancement.

This repository compares pix2pix and Instacolorization on the coloring image problem.

Attempt at image thresholding with OpenCV and Google Colab

Calculates the probability of co-occurrence from gray-scale images.

Images captured in outdoor scenes can be highly degraded due to poor lighting conditions. These images can have low dynamic ranges with high noise levels that affect the overall performance of computer vision algorithms. To make computer vision algorithms robust in low-light conditions, use low-light image enhancement to improve the visibility o…

image processing

In the normal state, the images in this gallery appear in grayscale. When you hover over them, the colors are restored.

Mandelbrot set topology