Visible to the public Multi-direction Edge Detection Operator

TitleMulti-direction Edge Detection Operator
Publication TypeConference Paper
Year of Publication2015
AuthorsXu, P., Miao, Q., Liu, T., Chen, X.
Conference Name2015 11th International Conference on Computational Intelligence and Security (CIS)
Date PublishedDec. 2015
ISBN Number978-1-4673-8660-9
Keywordscomposability, Computed tomography, convolution, edge detection, edge extraction, false edges, image denoising, Image edge detection, matched edges, mathematical operators, Metrics, multi-direction edge detection operator, multidirection edge detection operator, Noise measurement, noise rejection ability, noisy images, pubcrawl, resilience, Resiliency, Scalability, security, Sensitivity, shear transformation, single-pixel edge images, Standards, the shear transformation, Transforms, wavelet transforms

Due to the noise in the images, the edges extracted from these noisy images are always discontinuous and inaccurate by traditional operators. In order to solve these problems, this paper proposes multi-direction edge detection operator to detect edges from noisy images. The new operator is designed by introducing the shear transformation into the traditional operator. On the one hand, the shear transformation can provide a more favorable treatment for directions, which can make the new operator detect edges in different directions and overcome the directional limitation in the traditional operator. On the other hand, all the single pixel edge images in different directions can be fused. In this case, the edge information can complement each other. The experimental results indicate that the new operator is superior to the traditional ones in terms of the effectiveness of edge detection and the ability of noise rejection.

Citation Keyxu_multi-direction_2015