'Histogram equalization' diaporamas de présentation

?mage enhancement

?mage enhancement. Prepare image for further processing steps for specific applications. Image enhancement: Pre-processing. Spatial domain techniques: Find a transformation T f(x,y) g(x,y) Frequency domain techniques

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Introduction

Introduction. TOPIC 6 Image Enhancement. What are Image Features?. Local, meaningful, detectable parts of the image. More Color Woes. Squares with dots in them are the same color. Topics. Image Enhancement Brightness mapping Contrast stretching/enhancement Histogram modification

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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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Introduction to Computer Vision

Introduction to Computer Vision. Lecture 4 Dr. Roger S. Gaborski. Quiz. Intensity image is simply a matrix of numbers. We can summary this information by only retaining the distribution if gray level values:. PARTIAL IMAGE INFO:. 117 83 59 59 68 77 84

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Chapter 3

Chapter 3. Image Enhancement in the Spatial Domain. Outline. Background Basic Gray-level transformation Histogram Processing Arithmetic-Logic Operation Basics of Spatial Filtering Smoothing Spatial Filters Sharpening Spatial Filters Combining Spatial Enhancement Methods

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Chapter 3. Intensity Transformation and Spatial Filtering

Chapter 3. Intensity Transformation and Spatial Filtering. This Session will cover : What is image enhancement Basic Intensity Transformation Functions (Enhancement overview) Histogram Processing. Center for Artificial Intelligence and RObotics (CAIRO). What is Image Enhancement?.

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Two-week ISTE workshop on Effective teaching/learning of computer programming

Dr Deepak B Phatak Subrao Nilekani Chair Professor Department of CSE, Kanwal Rekhi Building IIT Bombay Lectures 11, Matrices -examples Saturday 3 July 2010 [Several slides courtesy Anirudha Jathar and Wikipedia]. Two-week ISTE workshop on Effective teaching/learning of computer programming.

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CS 585 Computational Photography

CS 585 Computational Photography. Nathan Jacobs. Administrivia. project 1: due Tuesday before midnight. Overview. point processing morphological operations more useful Matlab functions. Point Processing.

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Manipulating contrast/point operations

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Local Contrast Enhancement

Local Contrast Enhancement. Yehuda Gan-El. Histogram Equalization. Mapping the pixels with new gray levels Try to make the histogram as equalized as possible Small object are faded into the background. Local Histogram Equalization.

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Image Subtraction

Image Subtraction. Mask mode radiography h(x,y) is the mask. Image Enhancement in the Spatial Domain. Image Averaging. A noisy image:. Averaging M different noisy images:. Image Averaging. As M increases, the variability of the pixel values at each location decreases.

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Image Editing by Point Operatons

Image Editing by Point Operatons. Fall 2001 Martin Jagersand. 3D reality -> captured 2D image. x. z. y. y. x. z. y. x. Pinhole cameras. Examples of image sources:. Analog cameras Digital cameras Optic Scanners (linear image sensors) Laser scanners (2 and 3D images) Radar X-ray

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Multi-Histogram Equalization Methods for Contrast Enhancement and Brightness Preserving

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5. Homogeneous Point Processing

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Image Enhancement

Image Enhancement. T-61.182, Biomedical Image Analysis Seminar presentation 24.2.2005 Hannu Laaksonen Vibhor Kumar. Overview of part I. Subtraction imaging Gray-scale transforms Histogram transforms Global and local. Introduction, part I. Goal is to improve image quality

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Matlab Lecture 3

Matlab Lecture 3. Histogram Processing. Histogram Equalization. The imhist function create a histogram that show the distribution of intensities in pout.tif. (figure command display the image a new window.) >>figure, imhist (I). Histogram Equalization.

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Homework 6

Homework 6. Shot Change Detection. Advisor ???? Presenter ????. Outline. Shot change detection Histogram Histogram equalization(EQ). Flow Chart. Histogram detection. Histogram equalization. Input video. Shot detect. Histogram Shot Change Detect. SAD > 45000 Determine the shot. SAD.

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Homework 2.

Homework 2. ??? 2010/03/27. In this homework, we have had practice that how is a histogram equalization working 4 input pictures are Goldhill , pepper, tiffany and jet. Global Histogram. GOLDHILL. Global Histogram. PEPPER. Global Histogram. tiffany. Global Histogram. JET.

221 views • 7 slides