Machine Vision, 3rd Edition

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, ...