Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving ...

We have implemented a hardware-accelerated image filtering system using a ZedBoard Zynq-7000. It supports five image filtering namely- Box Blur, Edge Detection, Unsharp Masking, High Pass Filter and ...

Abstract: Edge detection is crucial in image processing and medical imaging. Various operators have been developed, including Sobel, Canny, Robert, and Prewitt. The Sobel edge detection algorithm is ...

Edge computing centers are set to overtake centralized data centers as the main location for the world’s data processing, an outflow driven by surging demand in artificial intelligence (AI)-based ...

Ever wondered what language a sentence is written in? With just a few lines of Python code, you can create a simple app that detects the language of any sentence you input. A Language Detector Using ...

Abstract: This is a development of configurable hardware accelerator for image processing that enhances edge detection. With such features as blurring, sharpening, vertical and horizontal embossment ...

Image-processor is an image processing tool which includes a library of common image preprocessing functions. This includes edge detection, segmentation, corner detection, and optical flow to name a ...

ABSTRACT: The mathematical model that aims at determining points in an image at which the image brightness suddenly changes is called edge detection. This study aims to propose a new hybrid method for ...