NDLI: Multiple templates auto exposure control based on luminance histogram for onboard camera

Content Provider	IEEE Xplore Digital Library
Author	Tao Jiang Kuhnert, K.-D. Duong Nguyen Kuhnert, L.
Copyright Year	2011
Description	Author affiliation: Institute of Real time Learning Systems (EZLS), University of Siegen, Germany (Tao Jiang; Kuhnert, K.-D.; Duong Nguyen; Kuhnert, L.)
Abstract	In order to adjust the exposure of high resolution and frequency images from an on-board camera in real time, a simple exposure control approach based on luminance histogram analysis is presented to realize light control precisely and rapidly. The algorithm divides the initial image into nine blocks and calculates the mean brightness of every part. It uses the luminance histogram to analyze the degree of exposure of both: the global image and every part, especially interest areas. According to the area size of the neighborhood on the two edges of the histogram, the different weight matrix can be decided to quickly calculate the optimal brightness for the next frame, and then the optimal exposure time can be determined accurately. The algorithm does not need to determine an expensive quadratic function to decide the weight of every part so as to fast perform auto exposure control. The experimental results show that the algorithm can correctly and fast adjust the exposure time of the on-board camera on an autonomous robot, and has strong adaptability for various shootings outdoor.
Starting Page	237
Ending Page	241
File Size	215310
Page Count	5
File Format	PDF
ISBN	9781424487271
e-ISBN	9781424487288
DOI	10.1109/CSAE.2011.5952672
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Histograms Luminance Histogram Brightness Robot vision systems On-board Dynamic range Cameras Camera Automatic exposure
Content Type	Text
Resource Type	Article

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