Presentation is loading. Please wait.

Digital Image Processing, 3rd ed. www.ImageProcessingPlace.com © 1992–2008 R. C. Gonzalez & R. E. Woods Gonzalez & Woods Chapter 2 Digital Image Fundamentals.

Published byAnissa Stevenson Modified over 9 years ago

Presentation on theme: "Digital Image Processing, 3rd ed. www.ImageProcessingPlace.com © 1992–2008 R. C. Gonzalez & R. E. Woods Gonzalez & Woods Chapter 2 Digital Image Fundamentals."— Presentation transcript:

3 Thermal Imaging Pseudo-color representation (Human body dispersing heat denoted by red) Operate in infrared frequency Grayscale representation (bright pixels correlate with high-temperature regions)

4 Radar Imaging Mountains in Southeast Tibet Operate in microwave frequency

5 Magnetic Resonance Imaging (MRI) kneespinehead Operate in radio frequency

6 visible infraredradio Comparison of Different Imaging Modalities

7 Fluorescence Microscopy Imaging normal cornsmut corn Operate in ultraviolet frequency

8 X-ray Imaging chesthead Operate in X-ray frequency

9 Positron Emission Tomography Operate in gamma-ray frequency

14 Image Formation Model f(x,y)=i(x,y)r(x,y)+n(x,y) 0<f(x,y)<∞ 0<i(x,y)<∞ 0<r(x,y)<1 reflectance illumination Intensity – proportional to energy radiated by a physical source (“intrinsic images”) n(x,y) noise

18 3D Visualization

19 Image Represented by a Matrix Spatial resolution Bit-depth resolution

22 Spatial Resolution

23 EE465: Introduction to Digital Image Processing Image Resampling

24 Towards Gigapixel Mega-pel Giga-pel http://triton.tpd.tno.nl/gigazoom/Delft2.htm Photographers and artists have manually or semi-automatically stitched hundreds of mega-pel pictures together to demonstrate how a giga-pel picture looks like  the power of pixels

30 Commonly–used Terminology Neighbors of a pixel p=(i,j) N 4 (p)={(i-1,j),(i+1,j),(i,j-1),(i,j+1)} N 8 (p)={(i-1,j),(i+1,j),(i,j-1),(i,j+1), (i-1,j-1),(i-1,j+1),(i+1,j-1),(i+1,j+1)} Adjacency 4-adjacency: p,q are 4-adjacent if p is in the set N 4 (q) 8-adjacency: p,q are 8-adjacent if p is in the set N 8 (q) Note that if p is in N 4/8 (q), then q must be also in N 4/8 (p)

31 EE465: Introduction to Digital Image Processing31 Euclidean distance (2-norm) D 4 distance (city-block distance) D 8 distance (checkboard distance) 0 1 1 1 1 0 1 1 1 1 0 1 1 1 1 11 1 1 22222 2 2 2 22 22 2 2 2 2 2 2 2 2 2 2 2 23 3 3 33 3 3 34 44 4 2 2 2 2 Common Distance Definitions

44 Digital Image Processing, 3rd ed. www.ImageProcessingPlace.com © 1992–2008 R. C. Gonzalez & R. E. Woods Gonzalez & Woods Chapter 2 Digital Image Fundamentals Chapter 2 Digital Image Fundamentals Image registration