Stereo Vision Distance Estimation Employing SAD with Canny Edge Detector

Canny edge detector

On the Canny edge detector

The Canny edge detector is widely used in computer vision to locate sharp intensity changes and to nd object boundaries in an image The Canny edge detector classi es a pixel as an edge if the gradient magnitude of the pixel is larger than those of pixels at both its sides in the direction of maximum intensity change In this paper we will show that de ning edges in this manner causes some obviou...

Semantic Image Segmentation using Canny-Edge Detector

Semantic Image Segmentation (SIM) is one of the most important areas of image processing. It is used in different fields like robotics, satellite imaging, Biometric verification etc. Image segmentation system depends mainly on two processes, i.e. image feature extraction and object class learning. Some of the researchers have exploited image feature like Texton-Feature, by the help of Texton fe...

A robust zero-watermarking scheme using Canny edge detector

By expansion of digital multimedia and networking technology, the problem of ownership protection has become increasingly important. Digital watermarking is an efficient way for copyright protection of digital images. Traditional watermarking techniques degrade the quality of host image by embedding a watermark logo. Facing this problem, a new watermarking approach called zero-watermarking has ...

Balancing High-Performance Parallelization and Accuracy in Canny Edge Detector

We present a novel approach to tradeoff accuracy against the degree of parallelization for the Canny edge detector, a well-known image-processing algorithm. At the heart of our method is a single toplevel image-slicing loop incorporated into the sequential algorithm to process image segments concurrently, a parallelization technique allowing for breaks in the computational continuity in order t...