Embedded Real Time Vision Enhancement System using Image Fusion

Sri Swathi Nimmagadda

ISBN 10: 3659767204 / ISBN 13: 9783659767203

Verlag: LAP LAMBERT Academic Publishing Sep 2015, 2015

Beschreibung

Neuware -This book deals with the design and development of a vision enhancement system for surveillance applications using real time image fusion. The developed algorithm captures video from moving camera, where frames are aligned to same coordinate system using feature based image registration technique and fuses the registered frames using DWT based maximum selection image fusion. The developed feature based image registration algorithm obtains the corners in the reference and unregistered frames, calculates the corner matching point pairs and estimates the geometric transformation matrix with all distortion parameters such as rotation, translation and scaling factor. Using obtained estimated transformation matrix, the geometric transformation is done to unregistered frame to achieve the registered frame. The reference and registered frames are fused using DWT based maximum selection image fusion. After validation, the enhancement system is developed by making a target processor specific image registration and fusion simulink model and porting on DM642EVM DSP processor with the help of CCStudio. The developed system can be extended to two dissimilar cameras moving in different directionsBooks on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch.

Bestandsnummer des Verkäufers 9783659767203

Bibliografische Details

• Titel: Embedded Real Time Vision Enhancement System using Image Fusion
• Verlag: LAP LAMBERT Academic Publishing Sep 2015
• Erscheinungsjahr: 2015
• Sprache: Englisch
• ISBN-10: 3659767204
• ISBN-13: 9783659767203
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

This book deals with the design and development of a vision enhancement system for surveillance applications using real time image fusion. The developed algorithm captures video from moving camera, where frames are aligned to same coordinate system using feature based image registration technique and fuses the registered frames using DWT based maximum selection image fusion. The developed feature based image registration algorithm obtains the corners in the reference and unregistered frames, calculates the corner matching point pairs and estimates the geometric transformation matrix with all distortion parameters such as rotation, translation and scaling factor. Using obtained estimated transformation matrix, the geometric transformation is done to unregistered frame to achieve the registered frame. The reference and registered frames are fused using DWT based maximum selection image fusion. After validation, the enhancement system is developed by making a target processor specific image registration and fusion simulink model and porting on DM642EVM DSP processor with the help of CCStudio. The developed system can be extended to two dissimilar cameras moving in different directions