Image Clustering and Classification Using Optimization Algorithms

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This research work focused on the satellite image clustering by developing some numerical algorithms to analyze the satellite images captured by satellites. it is aimed to enhance the classification accuracy by two proposed algorithms. Each approach goes through three phrases i.e preprocessing, segmentation and classification. these approaches show optimal results under observing condition, dynamic variation in regional details or noise effect degrades its performance.

Autorentext

She completed her B.Tech from RGMCET(Rajeev Gandhi Memorial College of Engineering and Technology),Nandyal, A.P and PG,Ph.D from JNTUH, Hyderabad in the years 2006,2016 respectively. Presently working at MGIT as Asst.Prof in the dept of ECE since 2005, She published 16 papers in various national and international journals and conferences.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659920677
    • Genre Electrical Engineering
    • Sprache Englisch
    • Anzahl Seiten 116
    • Herausgeber LAP LAMBERT Academic Publishing
    • Größe H220mm x B150mm x T7mm
    • Jahr 2016
    • EAN 9783659920677
    • Format Kartonierter Einband
    • ISBN 3659920673
    • Veröffentlichung 12.07.2016
    • Titel Image Clustering and Classification Using Optimization Algorithms
    • Autor Praveena Segu
    • Gewicht 191g

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