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

This article analyzes a set of methods for processing images of people for skin segmentation. The Jochen Triesch Static Hand Posture Database [9] provides a wide range of skin tones obtained from people of different ages and breeds. The skin detection task on images give face to distinct challenges, due to various factors like: ilumination variations, environment factors and background. In this paper we show the results obtained in developing segmentation algorithms based on different heuristic and probabilistic techniques using RGB color space.

Estudio comparativo de algoritmos de segmentación de piel usando atributos de color