Digital Image Processing Algorithms and Applications

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John Wiley & Sons, Feb 22, 2000 - Technology & Engineering - 432 pages
A unique collection of algorithms and lab experiments for practitioners and researchers of digital image processing technology

With the field of digital image processing rapidly expanding, there is a growing need for a book that would go beyond theory and techniques to address the underlying algorithms. Digital Image Processing Algorithms and Applications fills the gap in the field, providing scientists and engineers with a complete library of algorithms for digital image processing, coding, and analysis. Digital image transform algorithms, edge detection algorithms, and image segmentation algorithms are carefully gleaned from the literature for compatibility and a track record of acceptance in the scientific community.

The author guides readers through all facets of the technology, supplementing the discussion with detailed lab exercises in EIKONA, his own digital image processing software, as well as useful PDF transparencies. He covers in depth filtering and enhancement, transforms, compression, edge detection, region segmentation, and shape analysis, explaining at every step the relevant theory, algorithm structure, and its use for problem solving in various applications. The availability of the lab exercises and the source code (all algorithms are presented in C-code) over the Internet makes the book an invaluable self-study guide. It also lets interested readers develop digital image processing applications on ordinary desktop computers as well as on Unix machines.
 

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Contents

I
1
III
2
IV
4
V
7
VI
13
VII
18
VIII
20
IX
38
XLV
205
XLVI
221
XLVII
229
XLVIII
235
XLIX
241
LI
242
LII
249
LIV
257

X
51
XIV
52
XV
59
XVI
68
XVII
85
XVIII
92
XIX
96
XX
103
XXI
107
XXII
113
XXIII
121
XXV
122
XXVI
125
XXVII
128
XXVIII
133
XXIX
135
XXX
139
XXXI
149
XXXII
156
XXXIII
162
XXXIV
166
XXXV
168
XXXVI
174
XXXVII
177
XXXVIII
179
XXXIX
180
XL
191
XLII
192
XLIII
200
XLIV
203
LV
275
LIX
277
LX
282
LXI
297
LXII
300
LXIII
303
LXIV
323
LXVI
324
LXVII
329
LXVIII
334
LXIX
336
LXX
342
LXXI
348
LXXII
352
LXXIII
356
LXXIV
361
LXXV
369
LXXVI
372
LXXVII
376
LXXVIII
382
LXXIX
385
LXXX
386
LXXXI
401
LXXXV
402
LXXXVI
405
LXXXVII
406
LXXXVIII
407
LXXXIX
413
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About the author (2000)

I. PITAS, PhD, is a professor in the Department of Informatics at the Aristotle University of Thessaloniki, Greece.

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