Sayısal Görüntü İşleme Teknikleri

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Sayısal Görüntü İşleme Teknikleri

Doç. Dr. Mehmet Serdar Güzel

Slides are mainly adapted from the following course page:

http://www.comp.dit.ie/bmacnamee

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Lecturer

 Instructor: Assoc. Prof Dr. Mehmet S Güzel

 Office hours: Tuesday, 1:30-2:30pm

 Open door policy – don’t hesitate to stop by!

 Watch the course website

 Assignments, lab tutorials, lecture notes

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Introduction

“One picture is worth more than ten thousand words”

Anonymous

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References

 “Digital Image Processing”, Rafael C.

Gonzalez & Richard E. Woods, Addison-Wesley, 2002

 Mu

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Digital Image

A digital image represents 2-D image as a finite set of digital values, namely, pixels

Images taken from Gonzalez & Woods, Digital Image Processing (2002)

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Digital Image? (cont…)

The value of I(x,y) at any point is gives the pixel value at that point of an image.

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Digital Image? (cont…)

Pixel values typically characterize gray levels, colors, heights etc

Digitization is an approximation to a real scene

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Digital Image? (cont…)

 Common image formats include:

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1 sample per point (B&W or Grayscale)

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3 samples per point (Red, Green, and Blue)

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4 samples per point (Red, Green, Blue, and “Alpha”, a.k.a. Opacity)

 This course will focus on grey-scale images

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Digital Image focusses on

 Improvement of pictorial information for human perception

 Processing of image data for storage, transmission and representation for machine awareness

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DIP (cont…)

The range from image processing to computer vision can be categorized into three groups

First Level Input: Image Output: Image Examples: Noise removal, image enhancement

Second Level Input: Image Output: Qualities Examples: Object detection, recognition, segmentation

Third Level

Input: Qualities

Output: Understanding Examples: Scene

understanding,

autonomous navigation

Sayısal Görüntü İşleme Teknikleri