Embedded Real Time Vision Enhancement System using Image Fusion

Sri Swathi Nimmagadda

ISBN 10: 3659767204 / ISBN 13: 9783659767203

Published by LAP LAMBERT Academic Publishing Sep 2015, 2015

About this Item

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.

Seller Inventory # 9783659767203

Bibliographic Details

• Title: Embedded Real Time Vision Enhancement System using Image Fusion
• Publisher: LAP LAMBERT Academic Publishing Sep 2015
• Publication Date: 2015
• Language: English
• ISBN 10: 3659767204
• ISBN 13: 9783659767203
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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

About the Author

Sriswathi N. obtained her U.G Degree in E&C from GNEC-JNTU, Hyderabad in 2010 and P.G Degree(M.Sc.(Engg)) in Real Time Embedded Systems from MSRSAS-Coventry Univ, Bangalore in 2013.She joined the Dept of R&D at System Controls, Bangalore in 2013 as a Design Engineer. Her research areas include Computer Vision, Signal Processing and Image Processing