Edge localization - PowerPoint PPT Presentation

Discrete Images (Chapter 7)

Discrete Images (Chapter 7). Fourier Transform on discrete and bounded domains. Sampling function. Given an image: Zero boundary condition Periodic boundary condition (tiling images) . Main point: Fourier transform is still valid with each condition and depends only .

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392 views • 26 slides

Targil 2 Image enhancement and edge detection.

Targil 2 Image enhancement and edge detection. For both we will use image derivatives. Image enhancement. Histogram enhancement (histogram equalization…) Reducing noise (smoothing, median) Sharpening. Emphasize the details Make the edges stronger Problem: we magnify the noise.

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335 views • 19 slides

Canny Edge Detector

Canny Edge Detector. Smooth image with a Gaussian optimizes the trade-off between noise filtering and edge localization Compute the Gradient magnitude using approximations of partial derivatives 2x2 filters Thin edges by applying non-maxima suppression to the gradient magnitude

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1.28k views • 11 slides

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