IT523 Digital Image Processing

Slides:



Advertisements
Similar presentations
Digital Image Processing: Digital Imaging Fundamentals.
Advertisements

Digital Image Fundamentals Human Vision Lights and Electromagnetic spectrum Image Sensing & Acquisition Sampling & Quantization Basic Relationships b/w.
Introduction to Machine Vision Systems
ECE 472/572 – Digital Image Processing Lecture 2 – Elements of Visual Perception and Image Formation 08/25/11.
SCCS 4761 Introduction What is Image Processing? Fundamental of Image Processing.
G52IIP, School of Computer Science, University of Nottingham What we will learn … Topics relate to the use of computer to Acquire/generate Process/manipulate/store.
Digital Image Processing Lecture 1: Introduction Prof. Charlene Tsai
Digital Image Processing (DIP)
Digital Image Processing Lec2: Introduction (Cont.)
Digital Image Processing In The Name Of God Digital Image Processing Lecture1: Introduction M. Ghelich Oghli By: M. Ghelich Oghli
CP467 Image Processing and Pattern Recognition Instructor: Hongbing Fan Introduction About DIP & PR About this course Lecture 1: an overview of DIP DIP&PR.
Digital Image Processing & Analysis Spring Definitions Image Processing Image Analysis (Image Understanding) Computer Vision Low Level Processes:
Human Visual Perception The Human Eye Diameter: 20 mm 3 membranes enclose the eye –Cornea & sclera –Choroid –Retina.
Digital Image Fundamentals. What Makes a good image? Cameras (resolution, focus, aperture), Distance from object (field of view), Illumination (intensity.
Digital Image Processing & Analysis Dr. Samir H. Abdul-Jauwad Electrical Engineering Department King Fahd University of Petroleum & Minerals.
DIGITAL IMAGE PROCESSING
1 Digital Image Processing Dr. Saad M. Saad Darwish Associate Prof. of computer science.
Lecture 1 Digital Image Fundamentals 1.Human visual perception 2.Image Acquisition 3.Sampling, digitization and representation of image DIP&PR show.
Intelligent Vision Systems Image Geometry and Acquisition ENT 496 Ms. HEMA C.R. Lecture 2.
1 Chapter 1: Introduction 1.1 Images and Pictures Human have evolved very precise visual skills: We can identify a face in an instant We can differentiate.
1 © 2010 Cengage Learning Engineering. All Rights Reserved. 1 Introduction to Digital Image Processing with MATLAB ® Asia Edition McAndrew ‧ Wang ‧ Tseng.
Digital Image Processing & Analysis Fall Outline Sampling and Quantization Image Transforms Discrete Cosine Transforms Image Operations Image Restoration.
Dr. Engr. Sami ur Rahman Digital Image Processing Lecture 2: Visual System.
Chapter Teacher: Remah W. Al-Khatib. This lecture will cover:  The human visual system  Light and the electromagnetic spectrum  Image representation.
 To Cover the basic theory and algorithms that are widely used in digital image processing.  To Expose students to current technologies and issues that.
Digital Image Processing (DIP) Lecture # 5 Dr. Abdul Basit Siddiqui Assistant Professor-FURC 1FURC-BCSE7.
MACHINE VISION Machine Vision System Components ENT 273 Ms. HEMA C.R. Lecture 1.
Digital Image Processing Lecture 1: Introduction February 21, 2005 Prof. Charlene Tsai Prof. Charlene Tsai
Digital Image Processing NET 404) ) Introduction and Overview
Tutorial Visual Perception Towards Computer Vision
1-1 Chapter 1: Introduction 1.1. Images An image is worth thousands of words.
Elements of Visual Perception
University of Kurdistan Digital Image Processing (DIP) Lecturer: Kaveh Mollazade, Ph.D. Department of Biosystems Engineering, Faculty of Agriculture,
Jack Pinches INFO410 & INFO350 S INFORMATION SCIENCE Computer Vision I.
1 Machine Vision. 2 VISION the most powerful sense.
Ch1: Introduction Prepared by: Hanan Hardan
WELCOME TO ALL. DIGITAL IMAGE PROCESSING Processing of images which are Digital in nature by a Digital Computer.
Image Perception ‘Let there be light! ‘. “Let there be light”
Introduction to Image Processing. What is Image Processing? Manipulation of digital images by computer. Image processing focuses on two major tasks: –Improvement.
Intelligent Vision Systems Image Geometry and Acquisition ENT 496 Ms. HEMA C.R. Lecture 2.
An Introduction to Digital Image Processing Dr.Amnach Khawne Department of Computer Engineering, KMITL.
Digital Image Processing CSC331 Introduction 1. My Introduction EDUCATION Technical University of Munich, Germany Ph.D. Major: Machine learning.
Paresh Kamble Digital Image Processing Introduction by Paresh Kamble.
Image Perception ‘Let there be light! ‘. “Let there be light”
1. 2 What is Digital Image Processing? The term image refers to a two-dimensional light intensity function f(x,y), where x and y denote spatial(plane)
CS Spring 2014 CS 414 – Multimedia Systems Design Lecture 4 – Visual Perception and Digital Image Representation Klara Nahrstedt Spring 2014.
Visual Information Processing. Human Perception V.S. Machine Perception  Human perception: pictorial information improvement for human interpretation.
What is Digital Image Processing?
Image Processing.
EE663-Digital Image Processing & Analysis Dr. Samir H
Digital Image Processing (DIP)
Digital image self-adaptive acquisition in medical x-ray imaging
Prodi Teknik Informatika , Fakultas Imu Komputer
Digital Image Processing
Machine Vision Acquisition of image data, followed by the processing and interpretation of these data by computer for some useful application like inspection,
7 elements of remote sensing process
Digital Image Processing
Digital Image Processing
Light Waves and the Human Eye
Aum Amriteswaryai Namah:
Digital Image Fundamentals
Digital Image Fundamentals
© 2010 Cengage Learning Engineering. All Rights Reserved.
IT523 Digital Image Processing
Experiencing the World
Digital Image Processing
IT472 Digital Image Processing
Course No.: EE 6604 Course Title: Advanced Digital Image Processing
Presentation transcript:

IT523 Digital Image Processing Prof. Asim Banerjee Lecture 3 6th August 2007

1. Improvement … Human Interpretation Involves selection of printing procedures and distribution of brightness levels Improvements on processing methods for transmitted digital pictures Application areas include Archeology Astronomy Biology Industrial Applications Law enforcements Medical Imaging Space program etc. IT523 - Digital Image Processing

2. Processing…Machine Perception Focuses on procedures for extracting from an image information in a form suitable for computer processing NOTE : Often this information bears little resemblance to visual features that human beings use in interpreting the content of an image. Application areas include: Automatic Optical Character Recognition Machine vision for product assembly and inspection Military recognizance Automatic fingerprint matching etc. IT523 - Digital Image Processing

Structure of The Human Eye IT523 - Digital Image Processing

IT523 - Digital Image Processing Elements of HVP (1/2) Structure of the human eye Comprises of the cornea and sclera outer cover, the choroid and the retina Image formation in the eye The light from the object passes through the flexible lens The image is formed on the retina of the eye Brightness adaptation The range of intensity levels to which the system can adapt is enormous (~1010) Subjective brightness is a logarithmic function of the light intensity incident on the eye IT523 - Digital Image Processing

IT523 - Digital Image Processing Elements of HVP (2/2) Brightness discrimination The total range of intensity levels the eye can discriminate simultaneously is rather small compared to the total adaptation range Ability to discriminate between two intensity values is not a simple function of intensity The visual system tends to undershoot or overshoot around boundary of regions of different intensities A region’s perceived brightness also depends on the intensity level of the surrounding region (simultaneous contrast) IT523 - Digital Image Processing

IT523 - Digital Image Processing

Simultaneous Contrast The gray level of the square in the center is the same in all the images IT523 - Digital Image Processing

IT523 - Digital Image Processing Assignment #1 Find out about the properties of the human visual system and state the possible usage of these properties in building DIP systems. Submit by: 5:00 p.m. on Monday (13th August 2007). IT523 - Digital Image Processing

The Digital Image Processing System Recognition and Interpretation Outside world O/P Preprocessing Knowledge Base Segmentation Representation and Description Image Acquisition The Digital Image Processing System The DIP system takes inputs from the outside world and produces desirable (application dependent) outputs. IT523 - Digital Image Processing

IT523 - Digital Image Processing Image Acquisition (1/2) Two elements are required to acquire a digital image A physical device that is sensitive to a band in the electromagnetic spectrum (X-ray, Ultra Violet, Visible, Infrared) to produce an electrical signal proportional to the level of energy sensed (i.e. sensors or detectors) A digitizer to convert this signal into digital form. NOTE: There are sensors available that directly give digital output. IT523 - Digital Image Processing

IT523 - Digital Image Processing Image Acquisition (2/2) IT523 - Digital Image Processing

IT523 - Digital Image Processing Preprocessing It improves the image in ways that increase the chances of success for the other processes For example Enhancing contrast Removing noise Isolating regions of interest (ROI). IT523 - Digital Image Processing

IT523 - Digital Image Processing Segmentation It partitions an input image into its constituent parts or objects. NOTE: Autonomous segmentation is one of the most difficult tasks in digital image processing. Good segmentation ensures ease in achieving successful solution to an imaging problem. Bad segmentation guarantee eventual failure to an imaging problem. IT523 - Digital Image Processing

Representation & Description Representation implies conversion of the data to a form suitable for computer processing e.g. boundary representation or complete region representation. Description (or feature selection) deals with extracting features that result in some quantitative information of interest or features that can differentiate one class of objects from another. IT523 - Digital Image Processing

Recognition & Interpretation Recognition implies assigning of a label to an object based on information provided by its descriptors Interpretation implies assigning of a meaning to an ensemble of recognized objects. IT523 - Digital Image Processing

IT523 - Digital Image Processing Image Knowledgebase The knowledgebase stores the prior knowledge about the outside world (the problem domain) The processing modules interact with the knowledgebase to aid in the processing. IT523 - Digital Image Processing

Elements of DIP System (1/3) Image acquisition Scanners, video camera, CCD cameras, digitizers, etc. Storage Short term storage, on-line storage and archival storage Processing Small personal computers to dedicated processing hardware. IT523 - Digital Image Processing

Elements of DIP System (2/3) Communication Local communication between the processing systems Remote communication for transmission of images Display Monochrome Monitors to sophisticated display devices IT523 - Digital Image Processing

Elements of DIP System (3/3) IT523 - Digital Image Processing

Image Sensing & Acquisition (1/4) The images of interest are those generated by the combination of An illumination source and And the reflection or absorption of the energy from that source by the elements of the scene being imaged. The principal arrangements of the detectors or sensors are: Single imaging sensor Line sensor Array sensor. IT523 - Digital Image Processing

Image Sensing & Acquisition (2/4) IT523 - Digital Image Processing

Image Sensing & Acquisition (3/4) IT523 - Digital Image Processing

Image Sensing & Acquisition (3/4) IT523 - Digital Image Processing

IT523 - Digital Image Processing That’s all for now. IT523 - Digital Image Processing