伊利诺伊州立大学计算机视觉PPT.pdf

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Edge Detection 02/02/12 Magritte, “Decalcomania” Computer Vision (CS 543 / ECE 549) University of Illinois Derek Hoiem Many slides from Lana Lazebnik, Steve Seitz, David Forsyth, David Lowe, Fei-Fei Li

Last class • How to use filters for – Matching – Compression • Image representation with pyramids • Texture and filter banks

Issue from Tuesday • Why not use an ideal filter? Answer: has infinite spatial extent, clipping results in ringing Attempt to apply ideal filter in frequency domain

Denoising Gaussian Filter Additive Gaussian Noise

Reducing Gaussian noise Smoothing with larger standard deviations suppresses noise, but also blurs the image Source: S. Lazebnik

Reducing salt-and-pepper noise by Gaussian smoothing 3x3 5x5 7x7

Alternative idea: Median filtering • A median filter operates over a window by selecting the median intensity in the window • Is median filtering linear? Source: K. Grauman

Median filter • What advantage does median filtering have over Gaussian filtering? – Robustness to outliers, preserves edges Source: K. Grauman

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