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In order to be robust, a system for detecting road lane boundaries in images needs to be able to handle scenes which contain large amounts of clutter due to shadows, puddles, oil stains, skid marks, leaves and dirt on the road, etc. Many prior systems threshold the image gradient magnitude to detect edges, and then use the detected edge points to identify the lane boundaries. This can result in a...
This paper pertains to the detection of objects located in complex backgrounds. A feature-based segmentation approach to the object detection problem is pursued, where the features are computed over multiple spatial orientations and frequencies. The method proceeds as follows: a given image is passed through a bank of even-symmetric Gabor filters. A selection of these filtered images is made and...
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