A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Algorithm Optimization for the Edge Extraction of Thangka Images
2018
DEStech Transactions on Engineering and Technology Research
A novel image edge detection algorithm developed to extract object region from a Thangka image by gradient magnitude and two-step gradient. The idea of our image edge detection algorithm is similar to the canny edge detection algorithm, but the implementation is rather different. By using this algorithm, we can realize the object region extraction by four steps. Firstly, the Gaussian algorithm is used to smooth the Thangka image. Then, the second order gradient amplitude and gradient angle for
doi:10.12783/dtetr/amme2017/19509
fatcat:3e3ovhlbjjhpva7aowrp7ynhjq