NIST Technical NoteU.S. Department of Commerce, National Institute of Standards and Technology, 1989 |
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Page 20
... detail the role of the Level 1 processing unit associated with the particular camera in this example . The sensor plan stored in the world model generates requests to the sensory processing module in response to the need for up- dated ...
... detail the role of the Level 1 processing unit associated with the particular camera in this example . The sensor plan stored in the world model generates requests to the sensory processing module in response to the need for up- dated ...
Page 26
... detail " [ HALL71 ] . The effectiveness of data en- hancement techniques is dependent on the information being analyzed and the environmental conditions under which that data was generated . The causes of a poor image can be non - op ...
... detail " [ HALL71 ] . The effectiveness of data en- hancement techniques is dependent on the information being analyzed and the environmental conditions under which that data was generated . The causes of a poor image can be non - op ...
Page 32
... detail in Appendix B , section B1.1 . A7.5.2 . High - Pass Filtering The use of high - pass filters is based on the distribution of information in the frequency domain as computed by the Fourier transform . Edges and other sudden ...
... detail in Appendix B , section B1.1 . A7.5.2 . High - Pass Filtering The use of high - pass filters is based on the distribution of information in the frequency domain as computed by the Fourier transform . Edges and other sudden ...
Page 34
... detail about these methods . B8.1.1 . Mathematical Gradient Operators Gradient operators respond strongly to places in an image where the grey level changes rapidly . Digital approximations made to either the first or second partial ...
... detail about these methods . B8.1.1 . Mathematical Gradient Operators Gradient operators respond strongly to places in an image where the grey level changes rapidly . Digital approximations made to either the first or second partial ...
Page 38
... detail of fine texture . Marr [ MARR81 ] present methods for choosing the appropriate span . Using these ideas , Nevatia and Babu [ NEVAT80 ] use six 5x5 masks that correspond to an ideal step edge at various 30 ° orientations : -100 ...
... detail of fine texture . Marr [ MARR81 ] present methods for choosing the appropriate span . Using these ideas , Nevatia and Babu [ NEVAT80 ] use six 5x5 masks that correspond to an ideal step edge at various 30 ° orientations : -100 ...
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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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Page 23 - An Operator Which Locates Edges in Digitized Pictures," Journal of the ACM, Vol. 18, No. 1, January 1971, pp. 113-125.