NIST Technical NoteU.S. Department of Commerce, National Institute of Standards and Technology, 1989 |
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... Boundary Extraction .... B8.1.1 . Mathematical Gradient Operators . B8.1.2 . Template Matching B8.1.3 . Parametric Edge Modeling .. B8.2 . Region Extraction .............. B8.2.1 . Intensity and Color ......... B8.2.2 . Texture B8.3 ...
... Boundary Extraction .... B8.1.1 . Mathematical Gradient Operators . B8.1.2 . Template Matching B8.1.3 . Parametric Edge Modeling .. B8.2 . Region Extraction .............. B8.2.1 . Intensity and Color ......... B8.2.2 . Texture B8.3 ...
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... boundary detection , one for region detection , and one for computation of optical flow . When an algorithm command is received , the Planner modules choose the specific tech- nique within the class of algorithms specified by the Job ...
... boundary detection , one for region detection , and one for computation of optical flow . When an algorithm command is received , the Planner modules choose the specific tech- nique within the class of algorithms specified by the Job ...
Page 20
... boundaries , their length and their orientation ) by the priority levels set by the Level 2 Planner . The input it requires for these computations resides in buffers written by Level 1. Similarly , Level 1 is directed to segment its ...
... boundaries , their length and their orientation ) by the priority levels set by the Level 2 Planner . The input it requires for these computations resides in buffers written by Level 1. Similarly , Level 1 is directed to segment its ...
Page 23
... Boundary Detection : A Generalization and a New Algorithm " , IEEE Transactions on Computer Vision , Vol C - 26 , No ... Boundaries " , Artificial Intelligence , Vol . 17 , Nos . 1-3 , August 1981 , pp . 141-184 . [ INTEG81 ] Integrated ...
... Boundary Detection : A Generalization and a New Algorithm " , IEEE Transactions on Computer Vision , Vol C - 26 , No ... Boundaries " , Artificial Intelligence , Vol . 17 , Nos . 1-3 , August 1981 , pp . 141-184 . [ INTEG81 ] Integrated ...
Page 29
... boundaries , as well as noise , are blurred . Averaging over larger neighborhoods produces greater blurring . This blurring effect can be reduced by combining the averaging operation with a thresholding operation . A point which differs ...
... boundaries , as well as noise , are blurred . Averaging over larger neighborhoods produces greater blurring . This blurring effect can be reduced by combining the averaging operation with a thresholding operation . A point which differs ...
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Common terms and phrases
algorithm command algorithm parameters Appendix Architecture Artificial Intelligence averaging binary blurred camera class of algorithms command number Execution Comparator Module Computer Computer Vision Corner Detection described edge detection Engineering enhancement Execution command number Execution module Figure frequency functions Gaithersburg global data system GONZA77 grey level hierarchy High-Pass Filtering histogram IEEE Image Processing input Institute of Standards intensity Job Assignment module Level 1 Job Level 1 Sensory Level 1 Task low-pass Low-Pass Filtering manipulator mask measure methods module receives neighborhood NIST number Execution status object optical flow output performed pixels Planner module Precision requirements Priority preprocessing technique priority level assigned queue Robotics ROSEN82 segmentation selected algorithm sensory processing module sensory processing system SP WM TD spatial integrator specified Standards and Technology step edge surface patch Tactile Task Decomposition interface task decomposition module Telerobot texture threshold value tion update Visual Perception world model global World Modeling Interface
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