image processing: the fundamentals (petrou/image processing: the fundamentals) || colour plates

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Plates 771 (a) (b) Plate I: (a) The colours of the Macbeth colour chart. (b) The chromaticity diagram of the XYZ colour system. Points A and B represent colours which, although further apart than points C and D, are perceived as more similar than the colours represented by C and D. (a) One eigenvalue (b) Two eigenvalues (c) Three eigenvalues (d) Four eigenvalues (e) Five eigenvalues (f) Six eigenvalues Plate II: The inclusion of extra eigenvalues beyond the third one changes the colour appear- ance very little (see example 7.12, on page 713). Plate III: Colour perception depends on colour spatial frequency (see page 740). Image Processing: The Fundamentals, Second Edition Maria Petrou and Costas Petrou © 2010 John Wiley & Sons, Ltd. ISBN: 978-0-470-74586-1

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Page 1: Image Processing: The Fundamentals (Petrou/Image Processing: The Fundamentals) || Colour Plates

Plates 771

(a) (b)Plate I: (a) The colours of the Macbeth colour chart. (b) The chromaticity diagram of theXY Z colour system. Points A and B represent colours which, although further apart thanpoints C and D, are perceived as more similar than the colours represented by C and D.

(a) One eigenvalue (b) Two eigenvalues (c) Three eigenvalues

(d) Four eigenvalues (e) Five eigenvalues (f) Six eigenvaluesPlate II: The inclusion of extra eigenvalues beyond the third one changes the colour appear-ance very little (see example 7.12, on page 713).

Plate III: Colour perception depends on colour spatial frequency (see page 740).

Image Processing: The Fundamentals, Second Edition Maria Petrou and Costas Petrou© 2010 John Wiley & Sons, Ltd. ISBN: 978-0-470-74586-1

Page 2: Image Processing: The Fundamentals (Petrou/Image Processing: The Fundamentals) || Colour Plates

772 Plates

Plate IV: Colour perception depends on colour context (see page 740).

(a) 5% impulse noise (b) 5% impulse + Gaussian (σ = 15)

(c) Vector median filtering (d) α-trimmed vector median filtering

Plate V: At the top, images affected by impulse noise and mixed noise, and at the bottomtheir restored versions, using vector median filtering, with window size 3× 3, and α-trimmedvector median filtering, with α = 0.2 and window size 5 × 5 (example 7.32, page 761).

Page 3: Image Processing: The Fundamentals (Petrou/Image Processing: The Fundamentals) || Colour Plates

Plates 773

(a) Original (b) Seen from 2m

(c) Seen from 4m (d) Seen from 6m

Plate VI: (a) “A Street in Shanghai” (344× 512). As seen from (b) 2m, (c) 4m and (d) 10mdistance. In (b) a border of 10 pixels around should be ignored, in (c) the stripe affected byborder effects is 22 pixels wide, while in (d) is 34 pixels wide (example 7.28, page 754).

(a) “Abu-Dhabi building” (b) After colour enhancement

Plate VII: Enhancing colours by increasing their saturation to its maximum, while retainingtheir hue. Threshold= 0.04 and γ = 1/

√6 were used for the saturation (see page 761).

Page 4: Image Processing: The Fundamentals (Petrou/Image Processing: The Fundamentals) || Colour Plates

774 Plates

(a) “Vina del Mar-Valparaiso” (b) After colour enhancementPlate VIII: Enhancing colours by increasing their saturation to the maximum, while retainingtheir hue. Threshold= 0.01 and γ = 1/

√6 were used for the saturation (see page 761).

(a) Original (184 × 256) (b) 10-means (sRGB)

(c) Mean shift (sRGB) (d) Mean shift (CIE RGB)Plate IX: “The Merchant in Al-Ain” segmented in Luv space, assuming that the originalvalues are either in the CIE RGB or the sRGB space (see example 7.37, on page 768).

(a) From the average band (b) From the 1st PC (c) From all bandsPlate X: The edges superimposed on the original image (see example 7.38, on page 769).