NIST Technical NoteU.S. Department of Commerce, National Institute of Standards and Technology, 1989 |
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Page
... Edge Preserving Smoothing . A7.4.3 . Median Filtering . A7.4.4 . Low - Pass Filtering A7.4.5 . Binary Edge Smoothing ............. A7.4.6 . Multi - Resolution Processing . A7.5 . Sharpening ......... A7.5.1 . Differentiation ...
... Edge Preserving Smoothing . A7.4.3 . Median Filtering . A7.4.4 . Low - Pass Filtering A7.4.5 . Binary Edge Smoothing ............. A7.4.6 . Multi - Resolution Processing . A7.5 . Sharpening ......... A7.5.1 . Differentiation ...
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... Edge Modeling .. B8.2 . Region Extraction .............. B8.2.1 . Intensity and Color ......... B8.2.2 . Texture B8.3 . Optical Flow ...... B8.4 . Evaluation ............. 32 .... 34 34 34 .... 37 39 40 40 40 41 42 1. Introduction The ...
... Edge Modeling .. B8.2 . Region Extraction .............. B8.2.1 . Intensity and Color ......... B8.2.2 . Texture B8.3 . Optical Flow ...... B8.4 . Evaluation ............. 32 .... 34 34 34 .... 37 39 40 40 40 41 42 1. Introduction The ...
Page 1
... filters the information , and , when applicable , enhances it . It then extracts edge points , surface patches , and information relevant to the op- SENSORY PROCESSING WORLD MODELING TASK DECOMPOSITION OPERATOR GLOBAL CONTROL DATA 1.
... filters the information , and , when applicable , enhances it . It then extracts edge points , surface patches , and information relevant to the op- SENSORY PROCESSING WORLD MODELING TASK DECOMPOSITION OPERATOR GLOBAL CONTROL DATA 1.
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... edge point extraction al- gorithms , surface patch or region extraction algorithms , and the first level of optical flow ex- traction algorithms . 2. General System Architecture Before describing the functionality of Level 1 of the ...
... edge point extraction al- gorithms , surface patch or region extraction algorithms , and the first level of optical flow ex- traction algorithms . 2. General System Architecture Before describing the functionality of Level 1 of the ...
Page 9
... edge point , the fit of a line , or the recognition of an object , depending on the level in the control hierarchy at which the detection is occurring . The correspondence of a prediction occurs when , for example , a moving object's ...
... edge point , the fit of a line , or the recognition of an object , depending on the level in the control hierarchy at which the detection is occurring . The correspondence of a prediction occurs when , for example , a moving object's ...
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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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