Volume 5, Issue 2-4
A High Order Method for Determining the Edges in the Gradient of a Function

Rishu Saxena, Anne Gelb & Hans Mittelmann

DOI:

Commun. Comput. Phys., 5 (2009), pp. 694-711.

Published online: 2009-02

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  • Abstract

Detection of edges in piecewise smooth functions is important in many applications. Higher order reconstruction algorithms in image processing and post processing of numerical solutions to partial differential equations require the identification of smooth domains, creating the need for algorithms that will accurately identify discontinuities in a given function as well as those in its gradient. This work expands the use of the polynomial annihilation edge detector, (Archibald, Gelb and Yoon, 2005), to locate discontinuities in the gradient given irregularly sampled point values of a continuous function. The idea is to preprocess the given data by calculating the derivative, and then to use the polynomial annihilation edge detector to locate the jumps in the derivative. We compare our results to other recently developed methods.

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@Article{CiCP-5-694, author = {}, title = {A High Order Method for Determining the Edges in the Gradient of a Function}, journal = {Communications in Computational Physics}, year = {2009}, volume = {5}, number = {2-4}, pages = {694--711}, abstract = {

Detection of edges in piecewise smooth functions is important in many applications. Higher order reconstruction algorithms in image processing and post processing of numerical solutions to partial differential equations require the identification of smooth domains, creating the need for algorithms that will accurately identify discontinuities in a given function as well as those in its gradient. This work expands the use of the polynomial annihilation edge detector, (Archibald, Gelb and Yoon, 2005), to locate discontinuities in the gradient given irregularly sampled point values of a continuous function. The idea is to preprocess the given data by calculating the derivative, and then to use the polynomial annihilation edge detector to locate the jumps in the derivative. We compare our results to other recently developed methods.

}, issn = {1991-7120}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/cicp/7758.html} }
TY - JOUR T1 - A High Order Method for Determining the Edges in the Gradient of a Function JO - Communications in Computational Physics VL - 2-4 SP - 694 EP - 711 PY - 2009 DA - 2009/02 SN - 5 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/cicp/7758.html KW - AB -

Detection of edges in piecewise smooth functions is important in many applications. Higher order reconstruction algorithms in image processing and post processing of numerical solutions to partial differential equations require the identification of smooth domains, creating the need for algorithms that will accurately identify discontinuities in a given function as well as those in its gradient. This work expands the use of the polynomial annihilation edge detector, (Archibald, Gelb and Yoon, 2005), to locate discontinuities in the gradient given irregularly sampled point values of a continuous function. The idea is to preprocess the given data by calculating the derivative, and then to use the polynomial annihilation edge detector to locate the jumps in the derivative. We compare our results to other recently developed methods.

Rishu Saxena, Anne Gelb & Hans Mittelmann. (2020). A High Order Method for Determining the Edges in the Gradient of a Function. Communications in Computational Physics. 5 (2-4). 694-711. doi:
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