Morphological Background Detection for Enhancement of Images

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Details

The objective is morphological transformations are used to detect the background in images characterized by poor lighting. Enhancement of images and background detection using Mathematical Morphological theory on dark images. Due to poor lightening the background of the image is not clear. This image can be enhanced by lightening the back ground with various morphological operations. Basically, Weber's Law Operator is used to analyze dark images which are carried out by two methods such as Image background detection by block analysis while second operator utilize opening by reconstruction to define multi background notion

Autorentext

1) K Aswitha Completed B.Tech in ECE from JNTUH, Hyd and M.Tech from Kakatiya university, presently working as Lecturer in Govt Polytechnic, Wgl. 2) R Srikanth Completed B.Tech (ECE) and M.Tech from JNTUH, Hyd, India. Pursuing Ph.D in Image Processing in Kakatiya University, working as Asst.prof in KITS

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786139847013
    • Genre Elektrotechnik
    • Sprache Englisch
    • Anzahl Seiten 92
    • Größe H220mm x B150mm x T6mm
    • Jahr 2018
    • EAN 9786139847013
    • Format Kartonierter Einband
    • ISBN 613984701X
    • Veröffentlichung 29.05.2018
    • Titel Morphological Background Detection for Enhancement of Images
    • Autor K. Ashwitha , R. Srikanth
    • Gewicht 155g
    • Herausgeber LAP LAMBERT Academic Publishing

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