A multistage algorithm for fast classification of patterns

H. El-Shishiny, Mohamed Abdel-Mottaleb, M. El-Raey, A. Shoukry

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

A multistage statistical pattern classification algorithm is proposed. The algorithm consists of three consecutive stages: (1) parallelpiped classification, (2) a new method for ellipsoidal separation, (3) Mahalanobis minimum distance classification. The multistage classifier is designed such that points not classified by a given stage are considered by the next one. The performance of the classifier is tested using a synthetic image. It has been found that this approach reduces computer classification time at a reasonable expense of classification accuracy. The algorithm performs well for the classification of remote sensing images and is implemented on a microcomputer.

Original languageEnglish (US)
Pages (from-to)211-215
Number of pages5
JournalPattern Recognition Letters
Volume10
Issue number4
DOIs
StatePublished - 1989
Externally publishedYes

Fingerprint

Classifiers
Microcomputers
Pattern recognition
Remote sensing

Keywords

  • image processing
  • multistage classification
  • Pattern recognition
  • remote sensing

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

A multistage algorithm for fast classification of patterns. / El-Shishiny, H.; Abdel-Mottaleb, Mohamed; El-Raey, M.; Shoukry, A.

In: Pattern Recognition Letters, Vol. 10, No. 4, 1989, p. 211-215.

Research output: Contribution to journalArticle

El-Shishiny, H. ; Abdel-Mottaleb, Mohamed ; El-Raey, M. ; Shoukry, A. / A multistage algorithm for fast classification of patterns. In: Pattern Recognition Letters. 1989 ; Vol. 10, No. 4. pp. 211-215.
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