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Introduction to Digital Image Processing
March 4, 2003 Shreekanth Mandayam ECE Department Rowan University
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Module Overview Lecture 1 Lecture 2 Digital Image Fundamentals
Digital Image Enhancement Digital Image Segmentation Digital Image Compression
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Digital Image Fundamentals
Lecture 1 Digital Image Fundamentals
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Monochromatic Digital Image
y x Gray Level f(x,y)
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R+G+B R G B R+G+B R G B R+G+B R G B R+G+B R G B R+G+B R G B R+G+B R G B
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Sampling & Quantization
demos/demo1sampling_and_quantization/demo_sampling.m Quantization demos/demo1sampling_and_quantization/demo_quant.m Digital Image Processing Course Nos (Senior Elective) and (Graduate) Fall 2003 Previous Offering:
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Fundamental Steps* Knowledge Base Preprocessing
(Enhancement & Restoration) Representation & Description Segmentation Problem Domain Knowledge Base Image Acquisition Recognition & Interpretation Result *Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Addison-Wesley, 1992
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Digital Image Enhancement
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Point Processing (Intensity Transformation)
s(x,y) = T{ r(x,y)} Transformed Gray Level Original Gray Level Transformation Function >>imadjdemo >>imadjust
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Point Processing Pixel Operations Point processing
Histogram equalization Connectivity individual pixels all pixels neighboring pixels
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Point Processing >>imadjdemo >>imadjust g L-1 s2 s s s1 r
L-1 L-1 s2 s g s s1 r r r1 r2 L-1 >>imadjdemo >>imadjust
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Image Histogram >>imadjdemo >>imhist
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Histogram Equalization (Balancing)
>>imadjdemo >>histeq
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Fundamental Steps* Knowledge Base Preprocessing
(Enhancement & Restoration) Representation & Description Segmentation Problem Domain Knowledge Base Image Acquisition Recognition & Interpretation Result *Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Addison-Wesley, 1992
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Digital Image Segmentation
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Spatial Filtering (Masking)
Portion of a digital image Mask z1 z2 z3 z4 z5 z6 z7 z8 z9 w1 w2 w3 w4 w5 w6 w7 w8 w9 Replace with R = w1z1 + w2z2 + ….. +w9z9
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Edge Detection Sobel Masks -1 -2 1 2 -1 1 -2 2 >>edgedemo
1 2 -1 1 -2 2 >>edgedemo >>edge demos/demo2spatial_filtering/edgegradientdemo.m
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Fundamental Steps* Knowledge Base Preprocessing
(Enhancement & Restoration) Representation & Description Segmentation Problem Domain Knowledge Base Image Acquisition Recognition & Interpretation Result *Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Addison-Wesley, 1992
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Digital Image Compression
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Discrete Cosine Transform
Information Concentration Data Compaction Feature Extraction Discrete Cosine Transform >>dctdemo
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JPEG Compression Standard
Compute DCT F(u,v) Level Shift Reorder to form 1-D Sequence f(x,y) Normalize Compute DC Coefficient Compute AC Coefficients
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Summary Digital Image Processing
Course Nos (Senior Elective) and (Graduate) Fall 2003 Previous Offering:
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