Semantic segmentation of road images based on cascade classifiers
نویسندگان
چکیده
In this work a novel algorithm for lane marking and road-covering defects detection on rectified images of road covering is proposed. Proposed method is based on image over-segmentation and classification of resulting segments. We use cascaded classifiers for lane marking and road defects detection. Each cascade layer involves binary classification and the last layer involves multi-class classification of image segments.
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تاریخ انتشار 2009