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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper focuses on finding the most optimal pre-processing methodsconsidering three common algorithms for image enhancement: Brightening, CLAHEand Retinex. For the purpose of image training in general, these methods willbe combined to find out the most optimal method for image enhancement. We havecarried out the research on the different permutation of three methods:Brightening, CLAHE and Retinex. The evaluation is based on Canny Edge detectionapplied to all processed images. Then the sharpness of objects will bejustified by true positive pixels number in comparison between images. Afterusing different number combinations pre-processing functions on images, CLAHEproves to be the most effective in edges improvement, Brightening does not showmuch effect on the edges enhancement, and the Retinex even reduces thesharpness of images and shows little contribution on images enhancement.

Pre-processing Image using Brightening, CLAHE and RETINEX