Certified Vision Professional – Basic Additional Terms
(Complete Study Guide)
Binary Morphology (Image processing) Right Ans - -extract and and alter
the structure of particles in a binary image
-functions that remove unwanted info caused by the thresholding
--noise particles
--particles touching the border of an image
--particles touching each other
--particles with uneven borders
Spatial Noise Right Ans - -"fixed pattern noise"
-constant non-uniformities in the image caused by bad sensor design,
electrical noise, ect.
Spatial Filtering (Image processing) Right Ans - -examples: linear highpass,
linear lowpass, non-linear highpass, non-linear lowpass
-technique is used directly on pixels of the image
-averaging pixels and changing them, ranking pixels and changing them
Frequency Domian Filtering (Image processing) Right Ans - -used for
smoothing and sharpening of image by removal of high or low frequency
components
-all filtering that can be done in spatial filtering can also be done in frequency
domain
Thresholding (Image processing) Right Ans - -converts each pixel in an
image to 0 or 1 accoring to the value of the original pixel
-helps extract significant structures in an image
spatial calibration (Image processing) Right Ans - -corrects for lens and
perspective distortion
-allows the user to take real-world measurements from image based on pixel
locations
Histograms (Image processing) Right Ans - -provides a quantitative
distribution of pixels in an image
-indicates the number of pixels at each gray level
(Complete Study Guide)
Binary Morphology (Image processing) Right Ans - -extract and and alter
the structure of particles in a binary image
-functions that remove unwanted info caused by the thresholding
--noise particles
--particles touching the border of an image
--particles touching each other
--particles with uneven borders
Spatial Noise Right Ans - -"fixed pattern noise"
-constant non-uniformities in the image caused by bad sensor design,
electrical noise, ect.
Spatial Filtering (Image processing) Right Ans - -examples: linear highpass,
linear lowpass, non-linear highpass, non-linear lowpass
-technique is used directly on pixels of the image
-averaging pixels and changing them, ranking pixels and changing them
Frequency Domian Filtering (Image processing) Right Ans - -used for
smoothing and sharpening of image by removal of high or low frequency
components
-all filtering that can be done in spatial filtering can also be done in frequency
domain
Thresholding (Image processing) Right Ans - -converts each pixel in an
image to 0 or 1 accoring to the value of the original pixel
-helps extract significant structures in an image
spatial calibration (Image processing) Right Ans - -corrects for lens and
perspective distortion
-allows the user to take real-world measurements from image based on pixel
locations
Histograms (Image processing) Right Ans - -provides a quantitative
distribution of pixels in an image
-indicates the number of pixels at each gray level
