NIST Technical NoteU.S. Department of Commerce, National Institute of Standards and Technology, 1989 |
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Page 18
... labelling pixels as edge or non - edge points using the Sobel edge detection method ( Appendix B8.1.1 ) . In the comparator module , pixel brightness value input is received from the camera sen- sor . Conceptually , there is a dedicated ...
... labelling pixels as edge or non - edge points using the Sobel edge detection method ( Appendix B8.1.1 ) . In the comparator module , pixel brightness value input is received from the camera sen- sor . Conceptually , there is a dedicated ...
Page 40
... label pixels according to similarities is termed region or surface patch extraction . These methods can be looked at as the opposite of edge extraction . Region based methods group pixels which share some intensity based property and ...
... label pixels according to similarities is termed region or surface patch extraction . These methods can be looked at as the opposite of edge extraction . Region based methods group pixels which share some intensity based property and ...
Page 42
... label values and may adjust a label's value based on this comparison . Fuzzy label- ling associates a likelihood value with each label and uses this to determine the appropriate value . A relaxation process is specified by two things ...
... label values and may adjust a label's value based on this comparison . Fuzzy label- ling associates a likelihood value with each label and uses this to determine the appropriate value . A relaxation process is specified by two things ...
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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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