NIST Technical NoteU.S. Department of Commerce, National Institute of Standards and Technology, 1989 |
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Page 26
... noise , etc. Not all of these problems can be improved with data enhancement techniques ( if an important feature is oc- cluded , no preprocessing technique can make it visible ) , but many enhancement techniques exist for improving ...
... noise , etc. Not all of these problems can be improved with data enhancement techniques ( if an important feature is oc- cluded , no preprocessing technique can make it visible ) , but many enhancement techniques exist for improving ...
Page 28
... noise . It is a form of spatial integration . Although there are many benefits to be gained by removing image noise , smoothing tends to blur the original image and therefore to de - emphasize sharp edges and contours [ ROSEN82 ] ...
... noise . It is a form of spatial integration . Although there are many benefits to be gained by removing image noise , smoothing tends to blur the original image and therefore to de - emphasize sharp edges and contours [ ROSEN82 ] ...
Page 29
... noise without blurring any edges that might be present in the image [ ROSEN82 , SINGH87 ] . Noise values are suppressed only at selected points . Implementation of this scheme is based on detecting edges and determining edge directions ...
... noise without blurring any edges that might be present in the image [ ROSEN82 , SINGH87 ] . Noise values are suppressed only at selected points . Implementation of this scheme is based on detecting edges and determining edge directions ...
Page 30
... noise in those parts of an image where there are no strong edges . A side effect of this operation is that portions of the image containing a large intensity gradient are also blurred . A7.4.5 . Binary Edge Smoothing Noise removal in a ...
... noise in those parts of an image where there are no strong edges . A side effect of this operation is that portions of the image containing a large intensity gradient are also blurred . A7.4.5 . Binary Edge Smoothing Noise removal in a ...
Page 31
... noise . Frame grabbers that convert grey scale information into binary information often contain additional hardware that can filter noise in an image as it is being digitized . The removal of noise and the width of the noise to be ...
... noise . Frame grabbers that convert grey scale information into binary information often contain additional hardware that can filter noise in an image as it is being digitized . The removal of noise and the width of the noise to be ...
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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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