The Canny Edge Detector Revisited

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...

Canny edge detector

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 Pipelined Architecture for the Canny Edge Detector

Presented here is an architecture for implenting a sub-pixel resolution edge detector based upon the second difference of a Gaussian filtering. A pipelining approach allows many simple operations to be performed in parallel across the video data stream so allowing a throughput at video rate, 10MHz. The output is intended describe edges in terms of an 8-bit strength and orientation as well as 8-...

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 ...