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CS589-04 Digital Image Processing Lecture 2. Intensity Transformation and Spatial Filtering

CS589-04 Digital Image Processing Lecture 2. Intensity Transformation and Spatial Filtering

CS589-04 Digital Image Processing Lecture 2. Intensity Transformation and Spatial Filtering. Spring 2008 New Mexico Tech. Spatial Domain vs. Transform Domain. Spatial domain image plane itself, directly process the intensity values of the image plane Transform domain

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2.14k views • 87 slides
CS589-04 Digital Image Processing Lecture 2. Intensity Transformation and Spatial Filtering

CS589-04 Digital Image Processing Lecture 2. Intensity Transformation and Spatial Filtering

CS589-04 Digital Image Processing Lecture 2. Intensity Transformation and Spatial Filtering. Spring 2008 New Mexico Tech. Spatial Domain vs. Transform Domain. Spatial domain image plane itself, directly process the intensity values of the image plane Transform domain

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912 views • 87 slides
Spring 2009

Spring 2009

CS489-02 & CS589-02 Multimedia Processing Lecture 2. Intensity Transformation and Spatial Filtering. Spring 2009. Spatial Domain vs. Transform Domain. Spatial domain Image plane itself, directly process the intensity values of the image plane Transform domain

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1.15k views • 85 slides
Digital Image Processing Chapter 3: Image Enhancement in the Spatial Domain 15 June 2007

Digital Image Processing Chapter 3: Image Enhancement in the Spatial Domain 15 June 2007

Digital Image Processing Chapter 3: Image Enhancement in the Spatial Domain 15 June 2007. Spatial Domain. What is spatial domain. The space where all pixels form an image. In spatial domain we can represent an image by f(x,y) where x and y are coordinates along x and y axis with

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3.38k views • 76 slides
Digital Image Processing Chapter 3: Image Enhancement in the Spatial Domain 15 June 2007

Digital Image Processing Chapter 3: Image Enhancement in the Spatial Domain 15 June 2007

Digital Image Processing Chapter 3: Image Enhancement in the Spatial Domain 15 June 2007. Spatial Domain. What is spatial domain. The space where all pixels form an image. In spatial domain we can represent an image by f(x,y) where x and y are coordinates along x and y axis with

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803 views • 76 slides
Point Operations

Point Operations

Point Operations. General Image Operations. Three type of image operations Point operations Geometric operations Spatial operations. Point Operations. Point Operations. Operation depends on Pixel's value. Context free (memory-less). Operation can be performed on the Histogram. Example:.

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746 views • 53 slides
Point Operations

Point Operations

Point Operations. General Image Operations. Three type of image operations Point operations Geometric operations Spatial operations. Point Operations. Point Operations. Operation depends on Pixel's value. Context free (memory-less). Operation can be performed on the Histogram. Example:.

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599 views • 38 slides
Digital Image Processing Week III

Digital Image Processing Week III

Digital Image Processing Week III. Thurdsak LEAUHATONG. Histogram Matching. Problem of Histogram Equalization. Histogram equalization may not always produce desirable results, particularly if the given histogram is very narrow. It can produce false edges and regions.

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315 views • 20 slides
Wavelet phase estimation without accurate time-depth conversion

Wavelet phase estimation without accurate time-depth conversion

Wavelet phase estimation without accurate time-depth conversion. Jiangbo Yu Advisor: Dr. John Castagna AGL update meeting May 2, 2012. content. Introduction Theory Results Conclusion. Introduction-Seismic-TO-well-tie. CONVOLUTION. Statistical wavelet from seismic.

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275 views • 15 slides
Local Binary Patterns (LBP)

Local Binary Patterns (LBP)

Local Binary Patterns (LBP). Tsung-Yi Wu. Concept. Divide the examined window to cells (e.g. 16x16 pixels for each cell).

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406 views • 15 slides

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