Design of steerable filters for feature detection using canny-like criteria

By Mathews Jacob, Michael A. Unser. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004

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International Large-Scale Vehicle Corpora for Research on Driver Behavior on the Road (2011, methodology): “The detection module of the algorithm employs the following three different operators: 1) steerable filters to detect linetype lane markers [ 34 ]; 2) a yellow color filter; and 3) circle detectors.”
Submitted to Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Multiscale Centerline Detection (unknown): “Most existing techniques rely on filters designed to respond to locally cylindrical structures [15], [24], [27], [35], [44], [58], optimized for specific profiles [22], or learnt [5], [17], [43].”
The SURE-LET Approach to Image Denoising (2007, methodology): “PSNR comparisons We have tested the various denoising methods for a representative set of standard 8-bit(7) grayscale images such as Lena, Barbara, Boat, Al, Goldhill (size 512×512) and Peppers, House (size 256 × 256), corrupted by simulated AWGN at eight different powers σ ∈ [5, 10, 15, 20, 25, 30,”