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

Image edge detection algorithm is applied on images to remove Gaussian noise that is present in the image during capturing or transmission using a method which combines Prewitt operator and threshold function technique to do edge detection on the image. This method is better than a method which combines Prewitt operator and mean filtering. In this paper, firstly use mean filtering to remove initially Gaussian noise, then use Prewitt operator to do edge detection on the image, and finally applied a threshold function technique with Prewitt operator.

Removal of Gaussian noise on the image edges using the Prewitt operator and threshold function technical