NIST Technical NoteU.S. Department of Commerce, National Institute of Standards and Technology, 1989 |
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... measurements , standards and related science and technology , in support of continually improving U.S. productivity ... measure- ment traceability services ; develops test methods and proposes engi- neering standards and còde changes ...
... measurements , standards and related science and technology , in support of continually improving U.S. productivity ... measure- ment traceability services ; develops test methods and proposes engi- neering standards and còde changes ...
Page 9
... measurement and the object's velocity . The results of event detection are passed to the world model to update global memory . 2.3 . World Modeling World modeling maintains the system's internal model of the world by continuously up ...
... measurement and the object's velocity . The results of event detection are passed to the world model to update global memory . 2.3 . World Modeling World modeling maintains the system's internal model of the world by continuously up ...
Page 34
... measure important spatial or spectral properties in the image . B8.1 . Boundary Extraction Methods for extracting boundaries in an image rely on detection of discontinuities in in- tensity . The grey level at an edge changes abruptly at ...
... measure important spatial or spectral properties in the image . B8.1 . Boundary Extraction Methods for extracting boundaries in an image rely on detection of discontinuities in in- tensity . The grey level at an edge changes abruptly at ...
Page 35
... measure horizontal and vertical changes in f across a pixel located at ( x , y ) in the image by : ( 4 ̧ f ) ( x , y ) = f ( x + 1 , y + 1 ) - f ( x , y ) ( 4 , f ) ( x , y ) = f ( x , y + 1 ) - f ( x + 1 , y ) . [ 4 ] [ 5 ] Some of the ...
... measure horizontal and vertical changes in f across a pixel located at ( x , y ) in the image by : ( 4 ̧ f ) ( x , y ) = f ( x + 1 , y + 1 ) - f ( x , y ) ( 4 , f ) ( x , y ) = f ( x , y + 1 ) - f ( x + 1 , y ) . [ 4 ] [ 5 ] Some of the ...
Page 36
... measures for good edge detection . He defines de- tection and localization criteria for edges and derives mathematical forms for these criteria . In addition , he adds the constraint that the operator must provide a single response ...
... measures for good edge detection . He defines de- tection and localization criteria for edges and derives mathematical forms for these criteria . In addition , he adds the constraint that the operator must provide a single response ...
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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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