Parallel Algorithms for Edge Detection in an Image
- 1 September 2014
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2014 17th International Conference on Network-Based Information Systems
Abstract
Edge detection is an important process in image segmentation, object recognition, template matching, etc. It computes gradients in both horizontal and vertical directions of the image at each pixel position to find the image boundaries. The conventional edge detectors take significant time to detect the edges in the image. To reduce the computational time, this paper proposes parallel algorithms for edge detection with Sobel, Prewitt and Robert first order derivatives using a Shared Memory - Single Instruction Multiple Data (SM - SIMD) parallel architecture. From the experimental results, it is inferred that the proposed parallel algorithms for edge detection are faster than the conventional methods.Keywords
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