Image Processing and Analysis

Introduction

How do we „see“ things ?

What can you „see“ here ?

And here ?

Try again …

Triangles

Text Reading

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Der Rset knan ein ttoaelr Bsinöldn sien, tedztorm knan man ihn onhe Pemoblre lseen. Das ist so, wiel wir nciht jeedn Bstachuebn enzelin leesn, snderon das Wrot als gseatems.

Some Terms …

• Image Processing: low level operations; output is still an image.

• Image Analysis: still low level; output is not longer an image (numbers, …).

• Machine Vision: high level applications; simulates human vision.

• Pattern Recognition: REcognition and classifying of patterns (not only IP!).

Examples: Image Processing

Examples: Image Analysis

Examples: Machine Vision

What do we expect from a Machine Vision System ?

• … to „see“ things like we (humans) do;

• Therefore: we need some knowledge and understanding about how we see things;

• … and we have to „think“ like a Machine Vision system.

Why do we use cameras as sensors ?

• Cameras are getting cheaper and cheaper;• Computer are getting cheaper and cheaper;• Software is getting more and more powerful;• The combination of

– Camera,– Computer, and– Software– is a cost-effective measuring system, which can be

used for a large number of applications.