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A very brief introduction to What is Digital Image Processing. Components of a Digital Image Processing System and A Machine Vision System.
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IMAGE PROCESSING USING MATLAB
What is Digital Image Processing?
Science of modifying a digital image
using certain image processing algorithms
and operations.
Typical Image Processing Operations
1. Sharpening
Typical Image Processing Operations
2. Noise Removal
Typical Image Processing Operations
3. DeBlurring
Typical Image Processing Operations
4. Edge Extraction
Typical Image Processing Operations
5. Binarization
Typical Image Processing Operations
6. Blurring
Typical Image Processing Operations
7. Contrast Enhancement
Typical Image Processing Operations
8. Object Segmentation and Labelling
Components of a digital image processing system
A Machine Vision System
A machine vision system is a combination of hardware and software designedto solve problems involving the analysis of visual scenes using intelligent
algorithms.
Digital Image Representation
A monochrome image and the convention used to represent rows (x)
and columns (y)
General Representation
MATLAB Representation
Types Of Images
1. Binary (1-Bit) Images
1 : White0: Black
Pixel Value = 1 represents an edge
Pixel Value = 0 represents background
A Binary Image(result of edge detection algorithm)
Types Of Images
2. Gray-Level (8-bit) Images
Pixel Value = 0Corresponds to BLACK
Pixel Value = 255Corresponds to WHITE
Pixel Value = 1 to 254represents varying shades of Gray
A Gray Scale image and the pixel values in a 6 x 6 Neighbourhood
Types Of Images
3. Color Images3.1 24 bit RGB Color Image 3.2 Indexed
Color Image
Applications of Digital Image Processing
o Image Sharpening and Restoration
o Medical Field
o Remote Sensing
o Transmission and Encoding
o Machine/ Robot Vision
o Color Processing
o Pattern Recognition
o Video Processing
o Microscopic Imaging
Thank You
