Image Processing & Machine Vision

Dr. Yongsheng Gao

School of Microelectronic EngineeringGriffith University

Office: Technology Building, room 3.25Tel: +61 7 3875 3652 Email: yongsheng.gao@griffith.edu.au

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?