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

There is a need for a high-throughput approach for extracting biological shapes from images. The approach for automated extraction of convex biological shapes presented in this paper is an Evolutionary Algorithm. As opposed to existing model based segmentation methods this approach is uniform for different images, needs no training set and is initialized automatically. The process of finding the shape is considered an optimization problem and for that reason an Evolutionary Algorithm was a good candidate for a solution. The results show that the proposed Evolutionary Algorithm gives a fast solution for pattern recognition and shape extraction.

CONVEX SHAPE RETRIEVAL FROM EDGE MAPS BY THE USE OF AN EVOLUTIONARY ALGORITHM