Computer Vision for Robotic Systems: An Introduction |
Contents
2 AN OPERATIONAL INFRASTRUCTURE FOR IMAGE PROCESSING | 15 |
BASIC IMAGE PROCESSING OPERATIONS | 33 |
4 STRUCTURAL OPERATIONS ON IMAGES | 56 |
Copyright | |
7 other sections not shown
Common terms and phrases
Anal application approach appropriate archetype architecture array Assign assume automated basic basis binarized image cell chapter character chosen class C₁ class-defining cluster Comp component computer vision configuration consider covariance matrix d₁(X decision boundary decision function decision rule DECISION THEORY defined described descriptors discussion distribution edge edge detection Euclidean distance feature space gray level histogram gray scale Hough transform idea identify IEEE IEEE Trans illustrated in Figure image data image processing implementation important Machine Int matrix measurements neighbors obtained P₁ parameters particular Patt pattern classes pattern recognition system performance pixel values possible problem procedure processor representation represented robotic systems segments shown in Figure SIMD SISD spatial specific statistical statistically independent straight lines structure task techniques test pattern thresholding tion training pattern training set transformed underlying x x x x x x XX XX XX XXXX XXXX XXXXXX י י י