'Transformation function' presentation slideshows

Objectives of Enhancement

Objectives of Enhancement. Process an image so that the result will be more suitable than the original image for a specific application. The suitableness is up to each application.

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Chapter 3 Intensity Transformations and Spatial Filtering

Chapter 3 Intensity Transformations and Spatial Filtering. The images used here are provided by the authors. Objectives: We will learn about different transformations, some seen as enhancement techniques. Chapter 3 Intensity Transformations and Spatial Filtering. 3.1 Background

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Chapter 3 Image Enhancement in the Spatial Domain

Chapter 3 Image Enhancement in the Spatial Domain. ???????? ????? ??? (Chuan-Yu Chang ) ?? Office: EB212 TEL: 05-5342601 ext. 4337 E-mail: chuanyu@yuntech.edu.tw Website:MIPL.yuntech.edu.tw. Preview.

1.09k views • 68 slides

Chapter 3 Image Enhancement in the Spatial Domain

Chapter 3 Image Enhancement in the Spatial Domain. The spatial domain : The image plane For a digital image is a Cartesian coordinate system of discrete rows and columns. At the intersection of each row and column is a pixel. Each pixel has a value, which we will call intensity.

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Image Display & Enhancement

Image Display & Enhancement. Lecture 2 Prepared by R. Lathrop 10/99 updated 1/03 Readings: ERDAS Field Guide 5th ed Chap 4; Ch 5:137-153; App A Math Topics: 459-469. Where in the World?. http://phillips.blogs.com/photos/uncategorized/124_burning_man.jpg. Learning objectives.

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Image Display & Enhancement

Image Display & Enhancement. Lecture 2 Prepared by R. Lathrop 10/99 updated 1/03 Readings: ERDAS Field Guide 5th ed Chap 4; Ch 5:137-153; App A Math Topics: 459-469. Analog-to-digital conversion process.

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MONTE CARLO NUMERICAL METHOD

MONTE CARLO NUMERICAL METHOD. BY A. Lecture KARRAR DH. MOHAMMED. History of the Monte Carlo Method. The Monte Carlo name is taken from the Monte Carlo, the capital of Monaco which was a center for gambling.

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Image Display & Enhancement

Image Display & Enhancement. Lecture 2 Prepared by R. Lathrop 10/99 updated 1/03 Readings: ERDAS Field Guide 5th ed Chap 4; Ch 5:137-153; App A Math Topics: 459-469. Digital Images.

647 views • 39 slides

Information Visualization

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Types of Image Enhancements in spatial domain

Types of Image Enhancements in spatial domain. The objective of enhancement is to process the image so that the resultant image is better than the original image for a particular application. It is classified into 2 types: Spatial domain methods and frequency domain methods.

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Weakest Precondition Synthesis for Compiler Optimizations

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Histogram Specification

Histogram Specification. desired. -1. G. G. equalize. equalize. Histogram Specification (cont.). Equalize the levels of the original image. Specify the desired density function (histogram) and obtain the transformation function G(z).

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Histogram Specification

Histogram Specification. desired. -1. G. G. equalize. equalize. Histogram Specification (cont.). Equalize the levels of the original image. Specify the desired density function (histogram) and obtain the transformation function G(z).

365 views • 25 slides

Semantic Analysis for an Advanced ETL framework

1st International Workshop on Interoperability through Semantic Data and Service Integration 25 June 2009 Camogli, Italy. Semantic Analysis for an Advanced ETL framework. S.Bergamaschi 1 , F. Guerra 2 , M. Orsini 1 , C. Sartori 3 , M. Vicini 1

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Data Mining Concepts

IBM SPSS . Data Mining Concepts. Introduction to Directed Data Mining: Neural Networks. Dendrites. Axon. Cell Body. Neural Networks. Complex learning systems recognized in animal brains Single neuron has simple structure Interconnected sets of neurons perform complex learning tasks

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Transformation of Short-Term Spectral Envelope of Speech Signal

Transformation of Short-Term Spectral Envelope of Speech Signal Using Multivariate Polynomial Modeling P. K. Lehana P . C. Pandey { lehana , pcpandey }@ ee.iitb.ac.in EE Dept, IIT Bombay 30 th January, 2011. 1/15. PRESENTATION OUTLINE. 1. Introduction

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Figure 8.1 Example of gray scale modification. (a) Image of 4 x 4 pixels, with each pixel

Two-Dimensional Signal and Image Processing Chapter 8 - pictures. Figure 8.1 Example of gray scale modification. (a) Image of 4 x 4 pixels, with each pixel represented by 3 bits; (b) gray scale transformation function; (c) result of modifying the

266 views • 3 slides