image processing and machine vision - griffith university
TRANSCRIPT
Image Processing & Machine Vision
Dr. Yongsheng Gao
School of Microelectronic EngineeringGriffith University
Office: Technology Building, room 3.25Tel: +61 7 3875 3652 Email: [email protected]
Digital Image Processing• Digitizing an image ( convert an analog image
to a digital one) • Enhancing an image ( Let an image better suit
for a specific application)• Restoring an image ( Recover a damaged image)• Compressing an image ( Store it with less
bytes )• Segmenting an image ( Partition objects in an
image from background )• Recognizing an image ( => Machine Vision)
Digitizing an image
Digitizing an image --- The first step of digital image processing.
Sample ( like these grids)
quantizationI(x,y)
Enhancing an image
Original Image
Enhanced Image
Restoring an imageRestored image
Original image
Wrinkle
Compressing an imageRedundant Information
Original image PNG Compressed image JPEG
Segmenting an image
Original image Segmented image
What is Machine Vision?
Definition: Machine vision is to make decisions (what, where, who and when) about real physical objects and scenes based on sensed images
=> Recognizing an image
Examples of Applications
• Automation• Video surveillance • Man-machine communication• Object detection and recognition• Satellite image • Image understanding and query• Medical image analysis• OCR• etc …………
Human detection (Where) and recognition (Who)
Video Surveillance (What and When)
Robot-man communication (What emotion)
Image Understanding (multimedia google)
Medical Image Analysis
Course Outline • Imaging & Image Representation• Image Enhancement• Image Compression• Image Segmentation• Binary Vision• Pattern Recognition Concepts• Feature Extraction and Object Description• 2D Matching• Motion Analysis & 3D Vision• Case Study
How to build such a intelligent
system?