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Machine Vision, 3rd Edition by E. R. Davies

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Subject Index

A

Abstract pattern matching, Pattern matching
Active contours, 228–229
Active vision, 573–574
Ade’s eigenfilter approach, 771–774
Agglomerative algorithms, 707–708
Agriculture example, egomotion and, 588–592
Algorithm design criteria, 822
accuracy, 822
adaptability, 822
cost, 813–820, 822
detection sensitivity, 323–324
reliability, 822–823
robustness, 822–823
specificity, 355
speed, 804–830
tradeoffs, 822–824, 836–839
Algorithmic parallelism, 806–807
Angle, shape from, 472–476
Animal tracking, 533–535
Aperture problem, 506
Articulated objects, 200, 504, 525, 530–532, 542
Artificial neural networks (ANNs), 726–731
noise suppression using, 745–750
Autocorrelation, 763
Automated visual inspection
applications, ...

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