Digital image processing [1] Basic Theory

1. Basic Process:

A) image preprocessing:

1) vertex operation (gray histogram/gray linear transformation/gray logarithm transformation/gamma transformation/gray threshold transformation/piecewise linear transformation/histogram equalization/histogram normalization)

2) geometric Transformation (image translation/image rotation/image scaling/image rotation/Interpolation Algorithm/Image Registration)

3) image enhancement in the spatial domain (spatial domain filtering/image smoothing/median filtering/image sharpening)

4) frequency-domain image enhancement (Fourier transform/frequency filtering)

5) Color Image Processing (color model (RGB/cmy/CMYK/HSI/HSV/YUV/yiq/Lab)/color compensation/color balancing)

6) morphological image processing (morphological operation of binary images (corrosion/expansion/On/Off/Closed Operation) /binary image morphology application (Hit-and-blow transformation/Boundary Extraction/area filling/Connected Component Extraction/refinement algorithm/pixel algorithm/convex hull) /basic morphological operations of gray images (corrosion/expansion/Open/closed/Top Hat transformation ))

7) image segmentation (edge detection/Hof transformation/threshold/region segmentation)

B) feature extraction:

1)

C) recognition analysis:

1) Pattern Recognition (Statistical Pattern Recognition and syntactic (structure) Pattern Recognition)

2) Artificial Neural Networks

3) Vector Machine