Introduction of Digital Image Processing
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Introduction of Digital Image Processing
What is an image?
Basic elements of an image processing
• Image Acquisition (camera)
• Image storage (Frame grabber card)
• Image processing (Algorithms)
• Display (monitor/VGC)
• Transmission (If required)
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Image types:
1. Monochrome images (Binary image-single bit)
2. Grey scale images (8bits-3 samples per point)
3. Color image (24-bit-8 samples per point)`
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Image format• BMP
• TIFF
• GIF
• JPEG
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Sampling and QuantisationTo digitize the analog images.
Digitization= Sampling +Quantization
Sampling: Convolution in time domain is multiplication in frequency domain and vice versa.
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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
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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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
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Image Acquisition
Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression
Digital Image Processing System :Image Enhancement
Digital Image Processing System :Image Restoration
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Image Acquisition
Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression
Digital Image Processing System :Morphological Processing
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Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression
Image Acquisition
Digital Image Processing System :Segmentation
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Image Restoration
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression
Morphological Processing
Segmentation
Image Acquisition
Segmentation
Digital Image Processing System :Object Recognition
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Image Acquisition
Image Restoration
Morphological Processing
SegmentationImage
Enhancement
Problem Domain
Colour Image Processing
Image Compression
Representation & Description
Object Recognition
Digital Image Processing System :Representation & Description
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Image Acquisition
Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression
Digital Image Processing System :Image Compression
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Image Acquisition
Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression
Digital Image Processing System :Colour Image Processing
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Image Acquisition
Image Restoration
Morphological Processing
Segmentation
Representation & Description
Image Enhancement
Object Recognition
Problem Domain
Colour Image Processing
Image Compression
Applications of Image processing
1. Biometrics
2. Medical
3. Space
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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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Physiological & Behavioral Biometric Traits
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Thank you..
May 26, 2016 Sample footer 22
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