A skeleton algorithm on clusters for image edge detection
- Publication Type:
- Conference Proceeding
- Proceedings - 15th International Parallel and Distributed Processing Symposium, IPDPS 2001, 2001, pp. 1359 - 1364
- Issue Date:
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
© 2001 IEEE. Image edge detection in computer vision and image processing is a process which detects one kind of significant feature in an image that appears as large delta values in intensities. In this paper, a parallel algorithmic skeleton for edge detection is proposed based on the Spiral Architecture and the Gaussian multi-scale theory. UNIX-based network programming mechanisms in C are used for the implementation on a cluster of Sun-workstations. Our work provides an efficient algorithm for edge detection and is robust to noise.
Please use this identifier to cite or link to this item: