'Gray scale image' presentation slideshows

Chapter Two Digital Image Fundamentals

Chapter Two Digital Image Fundamentals. Agenda: Light and Electromagnetic Spectrum Image Sensing & Acquisition Image Sampling & quantization Relationship Between Pixels Introduction to Mathematical Tools Used in DIP. Digital Image Fundamentals. Electromagnetic Spectrum.

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Dali Virtual Machine

Dali Virtual Machine. Wei Tsang Ooi (With Brian, Sugata, Tibor, Steve, Haye, Matthew, Dmitriy). Motivations. We know how to encode, transmit and store multimedia data today People start looking into ways to process multimedia data. Video Editing.

568 views • 56 slides

References

References. Books: Chapter 11, Image Processing, Analysis, and Machine Vision, Sonka et al Chapter 9, Digital Image Processing, Gonzalez & Woods. Topics. Basic Morphological concepts Four Morphological principles Binary Morphological operations Dilation & erosion

828 views • 54 slides

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 1. Introduction

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Outline

A graph, non-tree representation of the topology of a gray scale image Peter Saveliev Marshall University , USA. Outline. Graph, non-tree representation of the topology of a gray scale image Components of lower and upper level sets of the gray level function Cycles : simple closed curves

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Unreal Terrain

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In the name of ALLAH the beneficent the merciful

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Segmentation Oral-OSF image

Segmentation Oral-OSF image. Segmentation of the images Analysis of the features of Oral Epithelium Identification of potential precancerous lesions and conditions. Original image. Segmentation using texture filter. Algorithm color_img=imread('c.jpg'); gray_img=rgb2gray(color_img);

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Goals of Computer Vision

Goals of Computer Vision. To make useful decisions based on sensed images To construct 3D structure from 2D images. Related Areas of Computer Vision. Computer Graphics Image Processing Pattern Recognition Artificial Intelligence Virtual Reality. Applications of Computer Vision.

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Image Segmentation

Image Segmentation. Nitin Rane. Image Segmentation. Introduction Thresholding Region Splitting Region Labeling Statistical Region Description Application Areas. Introduction. Image segmentation is a topic of IP. Then Why in AI?

292 views • 8 slides