'Gaussian filters' diaporamas de présentation

Texture

Texture. Some slides: courtesy of David Jacobs. Examples. Simple textures (material classification): Brodatz dataset. More general textures on unstructured scenes. Dynamic textures. Applications. Classification (Objects and Scene, Material) Segmentation: group regions with same texture

667 views • 66 slides

Linear filtering

635 views • 43 slides

Image Processing

Image Processing. Ch4: Filtering in frequency domain Prepared by: Tahani Khatib AOU. Part 2 . Filtering in frequency domain. Frequency Domain Filtering & Spatial Domain Filtering. Similar jobs can be done in the spatial and frequency domains

1.04k views • 38 slides

Image Processing

Image Processing. Image Enhancement in the Frequency Domain Part III. Some Basic Filters. Low frequencies in the Fourier transform are responsible for the general gray-level appearance of an image over smooth areas. High frequencies are responsible for detail such as edges and noise.

970 views • 25 slides

Image Enhancement in Frequency Domain

Image Enhancement in Frequency Domain. Image and Its Fourier Spectrum. Basic Steps Multiply pixel f(x,y) of the input image by (-1) x+y . Compute F(u,v), the DFT G(u,v)=F(u,v)H(u,v) g1(x,y)=F -1 {G(u,v)} g(x,y) = g1(x,y)*(-1) x+y. Filtering in Frequency Domain: Basic Steps. Notch Filter.

972 views • 14 slides