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Introduction to Digital Image Processing

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Presentation on theme: "Introduction to Digital Image Processing"— Presentation transcript:

1 Introduction to Digital Image Processing
March 4, 2003 Shreekanth Mandayam ECE Department Rowan University

2 Module Overview Lecture 1 Lecture 2 Digital Image Fundamentals
Digital Image Enhancement Digital Image Segmentation Digital Image Compression

3 Digital Image Fundamentals
Lecture 1 Digital Image Fundamentals

4 Monochromatic Digital Image
y x Gray Level f(x,y)

5 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

6 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:

7 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

8 Digital Image Enhancement

9 Point Processing (Intensity Transformation)
s(x,y) = T{ r(x,y)} Transformed Gray Level Original Gray Level Transformation Function >>imadjdemo >>imadjust

10 Point Processing Pixel Operations Point processing
Histogram equalization Connectivity individual pixels all pixels neighboring pixels

11 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

12 Image Histogram >>imadjdemo >>imhist

13 Histogram Equalization (Balancing)
>>imadjdemo >>histeq

14 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

15 Digital Image Segmentation

16 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

17 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

18 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

19 Digital Image Compression

20 Discrete Cosine Transform
Information Concentration Data Compaction Feature Extraction Discrete Cosine Transform >>dctdemo

21 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

22 Summary Digital Image Processing
Course Nos (Senior Elective) and (Graduate) Fall 2003 Previous Offering:


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