NIST Technical NoteU.S. Department of Commerce, National Institute of Standards and Technology, 1989 |
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Page 27
... frequencies with which each grey level in the image occurs . In many images , the objects of interest fall in one range of grey levels while the background falls in another range . By choosing the threshold between the two peaks , good ...
... frequencies with which each grey level in the image occurs . In many images , the objects of interest fall in one range of grey levels while the background falls in another range . By choosing the threshold between the two peaks , good ...
Page 30
... frequency domain , an image is grouped into different frequency band widths , each of which contains unique information . The Fourier Transform maps the spatial domain onto the spatio - frequency domain . It is defined as : and its ...
... frequency domain , an image is grouped into different frequency band widths , each of which contains unique information . The Fourier Transform maps the spatial domain onto the spatio - frequency domain . It is defined as : and its ...
Page 32
... frequency domain as computed by the Fourier transform . Edges and other sudden changes in grey level are associated with high frequency components . Thus image sharpening involves " attenuating the low frequency components in the ...
... frequency domain as computed by the Fourier transform . Edges and other sudden changes in grey level are associated with high frequency components . Thus image sharpening involves " attenuating the low frequency components in the ...
Page 33
... frequency information is mapped into a mid - grey intensity [ ROSEN82 ] . Unsharp masking is a local technique for sharpening an image by subtracting its Lapla- cian transformation from the original blurred image . This operation ...
... frequency information is mapped into a mid - grey intensity [ ROSEN82 ] . Unsharp masking is a local technique for sharpening an image by subtracting its Lapla- cian transformation from the original blurred image . This operation ...
Page 39
... step edge functions in terms of a set of orthogonal basis functions . Hueckel [ HUECK71 ] proposed analyzing the frequency behavior by observing the zero- crossings of the following eight basis functions defined on a 39.
... step edge functions in terms of a set of orthogonal basis functions . Hueckel [ HUECK71 ] proposed analyzing the frequency behavior by observing the zero- crossings of the following eight basis functions defined on a 39.
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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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