Publication detail

DETECTION OF OBJECT WITH USING NEURAL NETWORK AS SYMPTOM CLASSIFIER

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

SÁBLÍK, V.

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"
}