Přístupnostní navigace
E-application
Search Search Close
Publication detail
SÁBLÍK, V.
Original Title
DETECTION OF OBJECT WITH USING NEURAL NETWORK AS SYMPTOM CLASSIFIER
Type
conference paper
Language
English
Original Abstract
This article deals with detection of spores in visual data obtained from a microscope. Classification process and its steps are explained. Furthermore, the article analyses the usage of neural network as symptomatic classifier. Characteristics of classification are shown on two concrete model-systems. Models are also evaluated.
Keywords
detection object neural networks clessifier
Authors
RIV year
2007
Released
27. 4. 2007
Publisher
Ing. Zdeněk Novotný CSc., Ondráčkova 105, Brno
Location
Brno
ISBN
978-80-214-3409-7
Book
Proceedings of the 13th conference STUDENT EEICT 2007, volume 3
Pages from
97
Pages to
101
Pages count
4
BibTex
@inproceedings{BUT22774, author="Václav {Sáblík}", title="DETECTION OF OBJECT WITH USING NEURAL NETWORK AS SYMPTOM CLASSIFIER", booktitle="Proceedings of the 13th conference STUDENT EEICT 2007, volume 3", year="2007", pages="97--101", publisher="Ing. Zdeněk Novotný CSc., Ondráčkova 105, Brno", address="Brno", isbn="978-80-214-3409-7" }