'Pixel values' diaporamas de présentation

Spatial-based Enhancements

Spatial-based Enhancements. Lecture 5 prepared by R. Lathrop 10/99 updated 2/05 ERDAS Field Guide 5th Ed. Ch 5:154-162. Where in the World?. Learning objectives. Remote sensing science concepts Concept of spatial frequency Texture Edge Enhancement/Sharpening Edge Detection/Extraction

887 views • 65 slides

Introduction to Medical Image Analysis

621 views • 48 slides

ELE 488 Fall 2006 Image Processing and Transmission (10-17-06)

10/17/06. ELE 488 Fall 2006 Image Processing and Transmission (10-17-06). Geometric Transformation translation rotation scaling Affine Image Registration Goodness of fit. Mosaicking and Registration. Reference Image. Floating Image.

563 views • 40 slides

A generic face processing framework: Technologies, Analyses and Applications

Oral Defense. A generic face processing framework: Technologies, Analyses and Applications. Supervised by: Prof. Michael R. Lyu Presented by Jang Kim Fung. Presentation Outline. Introduction Background Face processing framework Survey about facial feature

532 views • 39 slides

EE 6358 Computer vision Image Filtering

EE 6358 Computer vision Image Filtering. By Srividya Varanasi Graduate Student Dept of Electrical Engineering Fall 2005. Need for image filtering. Remove noise Sharpen contrast Highlight contours in images. Basic terminology.

584 views • 38 slides

Contemporary issues in IT

446 views • 32 slides

Face Detection

Cos 429: Face Detection (Part 2) Viola-Jones and AdaBoost Guest Instructor: Andras Ferencz (Your Regular Instructor: Fei-Fei Li) Thanks to Fei-Fei Li, Antonio Torralba, Paul Viola, David Lowe, Gabor Melli (by way of the Internet) for slides. Face Detection. Face Detection. Sliding Windows.

646 views • 30 slides

DEVELOPMENT OF COMMON NOWCASTING TOOLS IN CENTRAL EUROPEan NATIONAL WEATHER SERVICES

436 views • 27 slides

Objectives

Objectives. Implement pointers using indexed addressing modes Use pointers to access arrays, strings, structures, tables, and matrices Present finite-state machines as an abstractive design methodology Describe how the paged memory system allows memory sizes above 64KiB

362 views • 25 slides

MA/CS 375

MA/CS 375. Fall 2002 Lecture 23. Class Exercise. Part 1: Build a function called vandermonde.m which accepts a vector of x values and a polynomial order P In the function find N=length of x Function returns a matrix V which is Nx(P+1) and whose entries are:

322 views • 23 slides

SECURED AUTHENTICATION USING FINGER PRINT BIOMETRY -- IT Acumens. COM

SECURED AUTHENTICATION USING FINGER PRINT BIOMETRY -- IT Acumens. COM. STANDALONE PC. USER. CHECK AUTHEN- TICATION. AUTHEN- TICATED. REJECTED. SYSTEM -DESIGN. FINGERPRINT DATABASE (BMP FILES). VC++ APPLICATION. MODIFIED SYSTEM DESIGN. MODULES.

340 views • 22 slides

Color Models in Images

Color Models in Images. Colors models and spaces used for stored, displayed, and printed images. RGB Color Model for CRT Displays We expect to be able to use 8 bits per color channel for color that is accurate enough.

521 views • 20 slides

Improved PVO-based reversible data hiding

Improved PVO-based reversible data hiding. Source: Digital Signal Processing, 2014 Authors: Fei Peng, Xiaolong Li,ng Reporter : Min-Hao Wu. Outline. Related Work Proposed Scheme Experimental Results Conclusions. Related work.

371 views • 20 slides

The Viola/Jones Face Detector

424 views • 17 slides

Applying Pixel Values to Digital Images

Applying Pixel Values to Digital Images. Guilford County SciVis V202.02. Digital Images Gather Data by Remote Sensing . Remote Sensing is the process of gathering information without touching it. Satellites use a number of different sensors (IR, UV, Visible light, Radio) to record information.

248 views • 15 slides

Matlab Lecture 2

Matlab Lecture 2. Image Enhancement in the Spatial Domain (MATLAB). Main intensity transformation function. Photographic negative ( imcomplement ). Log transformation ( c*log(1+double(f)) ). Power-Law (gamma) transformation ( imadjust ). In Matlab : Function imadjust.

287 views • 12 slides

Foundational Issues

Machine Learning 726 Simon Fraser University. Foundational Issues. Outline. Functions vs. Probabilities The Curse of Dimensionality Bishop: Ch. 1. Learning Functions. Much learning is about predicting the value of a function from a list of features.

208 views • 8 slides

Raster-scan system

Raster-scan system. In addition to the central processing unit a special purpose processor called the video controller or display controller is used to control the operation of the display device. System Memory. Video Controller. Monitor. CPU. System Bus. I/O Devices.

2.48k views • 7 slides

Healpix for Science Tools

Healpix for Science Tools. Toby Burnett, Bruce Lesnick University of Washington. The Healpix class: an STL containers of Pixels. Constructor: set up nside (number of pixels) mode (nested or ring) and coord system begin() and end() methods: return iterator that evaluate to pixels.

260 views • 7 slides

ABSTRACT

Original Image. Resize. Green Band Extraction. Algorithm 2 . Algorithm 1 . Histogram Streach. Yp Mean filtering to remove noise . Laplacian Edge Detection. Algorithm 2 . Algorithm 1.

157 views • 1 slides