Image-processing define as converting the continuous analog signal to a two-dimensional image as a finite set of digital values. That converted value also called a pixel. It is defined by the mathematical function f(x, y) where x and y are the two co-ordinates horizontally and vertically. The value of f(x, y) at any point is given the pixel value at that point of an image.
Common image formats include
One sample per point ( B/W or Grayscale)
Three samples per point (Red Green and Blue)
Four samples per point (Red Green Blue and alpha)
Importance of Image processing
- Human Interpretation
The digital image clearly understands by humans and provides enhancement, high contrast, saturation, etc.
- Processing of Image
Image data processing is important for storage transmission and representation for autonomous machine perception.
- Data Analysis
Pictorial Data analysis is clear than texture data format so many analytical problems solve using the help of image processing.
Application area of an image processing
- Medical visualization.
The medical sector uses image processing to analyze like X-Ray, CT Scan.
- Industrial Visualization.
- Film and Acting sector.
- GIS (Geographic Information System).
Image-processing pattern
| Low-Level Process
Input: images Output: images |
Mid-Level Process
Input: image Output: Attribute
|
High-Level Process
Input: Attribute Output: high level recognize the image |
