IMAGE PROCESSING Tadas Rimavičius.

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Presentation transcript:

IMAGE PROCESSING Tadas Rimavičius

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

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

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

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

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

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

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

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

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

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

MORHOLOGICAL OPERATORS Binary dilation Binary erosion Opening Closing Skeletonization

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

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

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