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Data Mining Research and Applications

Data Mining Research and Applications

Data Mining Research and Applications. Workshop on Cyberinfrastructure For Environmental Research and Education October 31, 2002 Steve Tanner Information Technology and Systems Center University of Alabama in Huntsville stanner@itsc.uah.edu 256.824.5143 www.itsc.uah.edu. Key Questions:.

By deacon
(119 views)

Image Filtering

Image Filtering

Image Filtering. Dr. Jane Dong Serenade Training Session Summer, 2004. Outline. Concept of image filter Focus on spatial image filter Various types of image filter Smoothing, noise reductions Sharpening Edge detection Implementations . What is spatial image filter.

By denim
(117 views)

CS 691 Computational Photography

CS 691 Computational Photography

CS 691 Computational Photography. Instructor: Gianfranco Doretto Image Pyramids. Linear image transformations. In analyzing images, it’s often useful to make a change of basis. transformed image. Vectorized image. Basis. Spatial Domain Basis. Basis functions:.

By sally
(106 views)

Edge Operators

Edge Operators

Edge Operators. a kind of filtering that leads to useful features. Lines and Arcs Segmentation. In some image sets, lines, curves, and circular arcs are more useful than regions or helpful in addition to regions. Lines and arcs are often used in object recognition stereo matching

By donnel
(90 views)

Tracing the tongue with GLoSsatron

Tracing the tongue with GLoSsatron

Tracing the tongue with GLoSsatron. Adam Baker, Jeff Mielke, Diana Archangeli University of Arizona Supported by College of Social and Behavioral Sciences, University of Arizona James S. McDonnell Foundation #220020045 BBMB. The Need.

By theta
(94 views)

Image Filtering with GLSL

Image Filtering with GLSL

Image Filtering with GLSL. DI1.03 蔡依儒. Outline. Convolution Convolution implementation using GLSL Commonly used convolution filter Mean Filter Gaussian Filter Laplacian Filter Sharpness Filter. Convolution 1. Convolution

By thora
(135 views)

Digital Image Processing at Multiple Scales

Digital Image Processing at Multiple Scales

Digital Image Processing at Multiple Scales. ???. Humans. Brain (Inside). Eyes. Conclusion: Ideally Suited for Image Processing. computers. May Look Ideally Suited for Image Processing…. …But They’re Not. Filtering Images. Creates new image

By aletha
(120 views)

Second Order Derivative

Second Order Derivative

Second Order Derivative. 學生:謝宗佑 指導教授:張顧耀 教授 日期: 2007/06/05. Outline. Introduction Using ITK’s Second Order Filter Experiment Results Demo. Introduction. What is the second order derivative? Give the gradient magnitude. Purpose in image processing: Detect edge Edge enhancement e.g.

By jolenee
(5 views)

Lecture 10

Lecture 10

Lecture 10. Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002. DFT of Laplacian. Chapter 4 Image Enhancement in the Frequency Domain. Chapter 4 Image Enhancement in the Frequency Domain. High Boost Filtering. Chapter 4 Image Enhancement in the

By heidit
(2 views)


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