In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.

Despite being widely used in the literature, some front-detection algorithms are not easily available in Python. This packages implements different methods directly in Python: they are accelerated by ...

Over one million people in the U.S. have Parkinson’s disease (PD), a number that is expected to rise to 1.2 million by 2030. This condition affects more than 10 million people globally, with ...

Edge detection is a crucial task in image processing and remote sensing, particularly for accurately identifying and separating shapes in noisy digital images. To enhance robustness and detail in edge ...

We all know that images are made up of tiny little dots called pixels. But how do computers store these pixels? In this post, we will explore how computers store black and white images as a 2D matrix.

Abstract: The objective of this article is to propose a robust edge detection algorithm appropriate for the processing of color images originating from image acquisition systems with unknown ...

1 Automotive Research Association of India (ARAI) Academy, Pune, India. 2 Automotive Research Association of India (ARAI), Pune, India. The introduction of machine learning (ML) in the research domain ...

Denis works as a software developer who enjoys writing guides to help other developers. He has a bachelor's in computer science. He loves hiking and exploring the world. You might want to digitize a ...

Convolution filters are a fundamental building block in image processing and computer vision. They are used to extract specific features from an image by applying a small matrix of numbers, called the ...

I came of age in the 1980s, programming personal computers such as the Commodore VIC-20 and Apple ][e at home. Going on to study computer science (CS) in college and ultimately getting a Ph.D. at ...