A Region of Interest Extraction Approach Based on Adaptive Threshold in Intelligent Transportation System

It is important to extract ROI (Region of Interest) based on vision image processing in intelligent transportation system. A simple and novel approach is proposed to extract the RIO in transportation scene images. Firstly, a simple method is used to preprocess the input images; Secondly, interest pi...

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Bibliographic Details
Published in2009 Asia-Pacific Conference on Information Processing Vol. 2; pp. 120 - 123
Main Authors Yongquan Xia, Lihui Cheng, Weili Li, Shaohui Ning
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Acoustic sensors
binarization
Computer vision
Data mining
Intelligent sensors
intelligent transportation system
Intelligent transportation systems
Laser radar
Layout
Object detection
Pixel
pre-processing
region of interest
Road transportation
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Summary:It is important to extract ROI (Region of Interest) based on vision image processing in intelligent transportation system. A simple and novel approach is proposed to extract the RIO in transportation scene images. Firstly, a simple method is used to preprocess the input images; Secondly, interest pixels extraction function is defined to detect all the interest pixels from scene image using adaptive threshold mechanism; after that, these interest pixels connective each other are grouped to interest regions, the non-interest pixels enclosed by interest region are filled as interest pixels; Lastly, the regions selecting using region area threshold are as the extraction result of RIO. The experiment result is presented in the last part of the paper and the proposed approach is feasible and valid.
ISBN:9780769536996
0769536999
DOI:10.1109/APCIP.2009.166