It is the basic introduction of how the images will be captured and converted form analog to digital format by using sampling and quantization process and further algorithms will be apply on the digitized image.
6. Sampling and Quantisation
To digitize the analog images.
Digitization= Sampling +Quantization
Sampling: Convolution in time domain is multiplication
in frequency domain and vice versa.
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7. A digital image is a representation of a two-dimensional image as a finite
set of digital values, called picture elements or pixels. F(x , y)=
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1 pixel
Pixel values typically represent gray levels,
colors, heights, etc. Digitization implies that a
digital image is an approximation of a real
scene
8. The way from Image processing to Computer
vision is from three levels processes
Image Processing
Computer Graphics
Computer Vision
Level 1 Noise removals
Level 2 Object Recognition & Segmentation
Level 3 Scene understanding & automated Navigation
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9. Digital Image Processing System
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Image
Acquisition
Image
Restoration
Morphological
Processing
Segmentation
Representation
& Description
Image
Enhancement
Object
Recognition
Problem Domain
Colour Image
Processing
Image
Compression
19. Biometric System
• Biometrics comprises methods for uniquely recognizing humans based upon
one or more intrinsic physical or behavioral traits.
• Physiological are related to the shape of the body.
• Behavioral are related to the behaviour of a person. Examples like Gait,
Voice, Signature and Key Stroke.
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