'Gaussian smoothing' presentation slideshows

Gaussian smoothing - PowerPoint PPT Presentation

Image Filtering

Image Filtering

Image Filtering. CS485/685 Computer Vision Prof. George Bebis. What is image filtering?. f(x,y). g(x,y). filtering. filtering. Image Filtering Methods. Spatial Domain Frequency Domain (i.e., uses Fourier Transform). Spatial Domain Methods. g(x,y). f(x,y). f(x,y). g(x,y).

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437 views • 42 slides
Evaluation of Multi-core Architectures for Image Processing Algorithms

Evaluation of Multi-core Architectures for Image Processing Algorithms

Evaluation of Multi-core Architectures for Image Processing Algorithms. Masters Thesis Presentation by Trupti Patil July 22, 2009. Overview. Motivation Contribution & scope Background Platforms Algorithms Experimental Results Conclusion. Motivation.

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397 views • 39 slides
Post-Processing

Post-Processing

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549 views • 34 slides
Digital Image Processing Lecture 16: Segmentation: Detection of Discontinuities May 2, 2005

Digital Image Processing Lecture 16: Segmentation: Detection of Discontinuities May 2, 2005

Digital Image Processing Lecture 16: Segmentation: Detection of Discontinuities May 2, 2005. Prof. Charlene Tsai. What is segmentation?. Dividing an image into its constituent regions or objects. Heavily rely on one of two properties of intensity values: Discontinuity Similarity.

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437 views • 28 slides
Circular Augmented Rotational Trajectory (CART) Shape Recognition & Curvature Estimation

Circular Augmented Rotational Trajectory (CART) Shape Recognition & Curvature Estimation

Circular Augmented Rotational Trajectory (CART) Shape Recognition & Curvature Estimation. Presentation for 3IA 2007 Russel Ahmed Apu & Dr. Marina Gavrilova Department of Computer Science University of Calgary. Brief Outline. Motivation Shape Representation Problems with current approach

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335 views • 25 slides
Functional Brain Signal Processing: EEG & fMRI Lesson 14

Functional Brain Signal Processing: EEG & fMRI Lesson 14

M.Tech. (CS), Semester III, Course B50. Functional Brain Signal Processing: EEG & fMRI Lesson 14. Kaushik Majumdar Indian Statistical Institute Bangalore Center kmajumdar@isibang.ac.in. http://psuc5d.files.wordpress.com/2012/02/bennett-salmon-2009.jpeg. Why Statistics in fMRI?.

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247 views • 24 slides
Median Image Filter

Median Image Filter

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182 views • 7 slides
Median Image Filter

Median Image Filter

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82 views • 7 slides

Spatial Regularization for fMRI Detection. Summary.

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125 views • 1 slides

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