vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff38562b000000e913000001000f00 In this paper Streetlight object identification is addressed using the notion of image processing. An approach based on Image Processing Techniques is proposed for selection and processing of features from the images. Histogram and Region was applied on the extracted images. Histogram and Region features were then extracted and employed to train the Support Vector Machine (SVM) classifier for streetlight recognition. Experimental results shows 99.1%, 84% and 100% for histogram, region features and combination of both respectively. Experimental results have proved that the proposed method is robust, accurate, and powerful in object recognition.
Martins E Irhebhude, Michael Shabi, Adeola Kolawole
Nigerian Defence Academy, Nigeria
Streetlight Recognition, Autonomous Vehicles, Image Histogram Features, Region Features, Support Vector Machine
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 10 , Issue: 1 , Pages: 2054-2060 )
Date of Publication :
August 2019
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115
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