NIST Technical NoteU.S. Department of Commerce, National Institute of Standards and Technology, 1989 |
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A7.5.2 . High - Pass Filtering 8. Appendix B : Segmentation Techniques ....... B8.1 . Boundary Extraction .... B8.1.1 . Mathematical Gradient Operators . B8.1.2 . Template Matching B8.1.3 . Parametric Edge Modeling .. B8.2 . Region ...
A7.5.2 . High - Pass Filtering 8. Appendix B : Segmentation Techniques ....... B8.1 . Boundary Extraction .... B8.1.1 . Mathematical Gradient Operators . B8.1.2 . Template Matching B8.1.3 . Parametric Edge Modeling .. B8.2 . Region ...
Page 7
... segmentation techniques ) , the Planner module acts as a rule based system to choose the most appropriate algorithm for a given situation . Decisions are based on criteria such as timing requirements , precision requirements , statisti ...
... segmentation techniques ) , the Planner module acts as a rule based system to choose the most appropriate algorithm for a given situation . Decisions are based on criteria such as timing requirements , precision requirements , statisti ...
Page 10
... segmentation algorithm . Execution modules are responsible for sending current to the camera actuators and obtaining algorithm parameters and writing the command , the selected algorithm , and its parameters into an area of the world ...
... segmentation algorithm . Execution modules are responsible for sending current to the camera actuators and obtaining algorithm parameters and writing the command , the selected algorithm , and its parameters into an area of the world ...
Page 11
... segmentation be performed on pixel data or that the camera be turned off . Each command includes some or all of the following information : Command number The process desiring data must be able to identify its status . Level 1 ...
... segmentation be performed on pixel data or that the camera be turned off . Each command includes some or all of the following information : Command number The process desiring data must be able to identify its status . Level 1 ...
Page 16
... Status Planner ( 1 , s ) Planning / Execution Task Decomposition interface Command number Segmentation algorithm Timing requirements Precision requirements Priority Command timestamp Execution command number Execution status 16.
... Status Planner ( 1 , s ) Planning / Execution Task Decomposition interface Command number Segmentation algorithm Timing requirements Precision requirements Priority Command timestamp Execution command number Execution status 16.
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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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