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/

Zendy Plus

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

Zendy Tools

Zendy Open

Mathematical morphology is a popular framework for non-linear image processing, first introduced for binary and gray-level images, then extended to color and multivariate images. Various pseudo-morphological frameworks have been proposed as solutions to the problem of ordering multivariate data. We propose an improvement of the existing color probabilistic pseudo-morphology by computing the pseudo-extrema of a color set in a faster way, leading to a smaller execution time. We show the usefulness of the new construction in the context of noise reduction in color images using an OCCO filter, by comparing our approach with a series of color morphologies and pseudo-morphologies

Fast Probabilistic Pseudo-Morphology for Noise Reduction in Color Images