English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Edge detection is one of the most principal techniques for detectingdiscontinuities in the gray levels of image pixels. The Modulation TransferFunction (MTF) is one of the main criteria for assessing imaging quality and isa parameter frequently used for measuring the sharpness of an imaging system.In order to determine the MTF, it is essential to determine the best edge fromthe target image so that an edge profile can be developed and then the linespread function and hence the MTF, can be computed accordingly. For regularimage sizes, the human visual system is adept enough to identify suitable edgesfrom the image. But considering huge image datasets, such as those obtainedfrom satellites, the image size may range in few gigabytes and in such a case,manual inspection of images for determination of the best suitable edge is notplausible and hence, edge profiling tasks have to be automated. This paperpresents a novel, yet simple, algorithm for edge ranking and detection fromimage data-sets for MTF computation, which is ideal for automation onvectorised graphical processing units.

Algorithmic Analysis of Edge Ranking and Profiling for MTF Determination of an Imaging System