Title :
A Gradient-based Edge Detector For Pervasive Computing
Author :
Diao, Luhong ; Zhang, Ting ; Zhang, Sen ; Li, Hua ; Lin, Zongkai
Author_Institution :
Coll. of Appl. Sci., Beijing Univ. of Technol., Beijing
Abstract :
A gradient-based edge detection scheme for pervasive computing is proposed, which is deduced from Fresnel diffraction. It is a pair of 3 times 3 convolution kernels for measuring horizontal and vertical gradients. While the new method can gives quantitative results equal to the Canny detector while it is simple. So it is more suitable for different kinds of computing platforms.
Keywords :
Fresnel diffraction; edge detection; gradient methods; ubiquitous computing; Canny detector; Fresnel diffraction; gradient-based edge detection scheme; pervasive computing; Computer vision; Detectors; Diffraction; Filters; Humans; Image edge detection; Image segmentation; Information processing; Kernel; Pervasive computing; Fresnel diffraction; gradient-based edge detector; pervasive computing;
Conference_Titel :
Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
Conference_Location :
Alexandria
Print_ISBN :
978-1-4244-2020-9
Electronic_ISBN :
978-1-4244-2021-6
DOI :
10.1109/ICPCA.2008.4783618
