1. IMAGE PROCESSING
Tadas Rimavičius

2. Content Digital image conception Primary image processing
Operation and transformation
Segmentation
Morphological operators
Primary shape detection
Object recognition
Classification

3. DIGITAL IMAGE CONCEPTION [1]
Hue
Saturation
Lightness
Colors
RGB
CMY
HSI

4. DIGITAL IMAGE CONCEPTION [2]
Hue
Saturation
Lightness
Colors
RGB
CMY
HSI

5. PRIMARY IMAGE PROCESSING [1]
Pixels density histogram
Gamma correction
Contrast stretching
Histogram equalization
Thesholding
Inversion
Image addition operation
Image subtraction

6. PRIMARY IMAGE PROCESSING [2]
Pixels density histogram
Gamma correction
Contrast stretching
Histogram equalization
Thesholding
Inversion
Image addition operation
Image subtraction

7. PRIMARY IMAGE PROCESSING [3]
Pixels density histogram
Gamma correction
Contrast stretching
Histogram equalization
Thesholding
Inversion
Image addition operation
Image subtraction

8. PRIMARY IMAGE PROCESSING [4]
Pixels density histogram
Gamma correction
Contrast stretching
Histogram equalization
Thresholding
Inversion
Image addition operation
Image subtraction

9. PRIMARY IMAGE PROCESSING [5]
Pixels density histogram
Gamma correction
Contrast stretching
Histogram equalization
Thesholding
Inversion
Image addition operation
Image subtraction

10. IMAGE OPERATION AND TRANSFORMATION
Convultions
Template operations
Median filtering
Interest point
Correlation
Dvimatės transformacijos
Scaling
Panning
Rotation

11. SEGMENTATION Area Operators Edge detection Primary area finding
Treshold finding
Edge detection
Sobel operator (filter)
Roberts operator
Zero crossing

12. MORHOLOGICAL OPERATORS
Binary dilation
Binary erosion
Opening
Closing
Skeletonization

13. OBJECT RECOGNITION Problems Constructive solid geometry
Spatial occupancy
Multiple view representation
Surface boundary representation

14. Classification Nearest neighbor classifiers Bayesian classifier
Off-line computations
Neural nets
Support vectors machines
Random forests
...

15. QuESTIONS??? What main parameters describes color? Segmetation?
Main difference between Thresholding and Inversion?
Object recognition problems?
Classifiers examples?