Computer-Aided Leaf Recognition Visual System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00398344" target="_blank" >RIV/67985556:_____/13:00398344 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Computer-Aided Leaf Recognition Visual System
Original language description
Plant identification is an important task in botany and related areas, such as agriculture, forestry, and nature conservation. It is also of interest of general public. While botanists usually have no problem identifying a species, non-specialists wouldoften welcome a computer-aided system for species recognition. Creating such a system is a challenge that we have resolved using visual pattern recognition methods.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GAP103%2F11%2F1552" target="_blank" >GAP103/11/1552: Moments and Moment Invariants in Image Analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ERCIM News
ISSN
0926-4981
e-ISSN
—
Volume of the periodical
2013
Issue of the periodical within the volume
95
Country of publishing house
FR - FRANCE
Number of pages
2
Pages from-to
15-16
UT code for WoS article
—
EID of the result in the Scopus database
—