AN EDGE DETECTION BASED ON IMAGE FUSION ALGORITHM
Abstract
Edge detection is a part of image segmentation. It is important in digital image processing. The canny edge detector in multi-resolution is not suitable because edge detection is done using only one scale. To over-come this problem we can use wavelet transform for edge detection but this method give poor result in noisy image. We can improve this result by the edge detection based on image fusion method. In this method low frequency information is done with canny detector and high frequenecy information is done with wavelet transform. This method is not only removing the noise but also enhance an edge. Keywords: edge detection, wavelet transform, canny operator, denoising algorithms, fusion rule.
Downloads
Published
How to Cite
Issue
Section
License
International Journal of Engineering Technology and Computer Research (IJETCR) by Articles is licensed under a Creative Commons Attribution 4.0 International License.