un processus automatique d’amélioration des contrastes colorés sur les cartes de risques
Clicks: 157
ID: 157118
2009
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
157 views
21 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #83 of 115 articles by views in Foods (Basel, Switzerland)
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Sur les cartes de risques, la densité et la superposition des signes rendent la lecture et la compréhension des informations parfois difficiles. Pour améliorer cette lisibilité, il a semblé pertinent de jouer sur les couleurs, précisément leurs contrastes: un modèle d’analyse et d'amélioration automatiques des contrastes colorés a été développé dans le cadre d’une thèse de doctorat au laboratoire COGIT de l’IGN.
| Reference Key |
chesneau2009m@ppemondeun
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Élisabeth Chesneau |
| Journal | Foods (Basel, Switzerland) |
| Year | 2009 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.