Filters And Conversion
This palette contains functions for smoothing filters, threshold,
lookup table and color space conversion.
Note: A vi icon with yellow background means they work on
color images. With gray background means they only work on single channel
image. With half yellow and half gray background means they work on both color
and single channel image. Others vi icon background are for either examples or
high level vis. For controls descriptions, you need to go to the vi in LabVIEW,
use help (ctrl+H) and move mouse over the controls to see them.
IVision_BilateralFilter.vi
Perform bilateral filtering.
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IVision_GaussianBlur.vi
Smooth the image with Gaussian blur method.
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IVision_MedianFilter.vi
Perform median filter smoothing.
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IVision_SmoothImage.vi
Low level vi for smooth filtering.
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IVision_AdaptThreshold_Gray.vi
Applies adaptive threshold to image. Work for single channel image.
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IVision_Threshold_Gray.vi
The function applies fixed-level thresholding to single-channel image. The function
is typically used to get bi-level (binary) image out of grayscale image or for
removing a noise, i.e. filtering out pixels with too small or too large values.
There are several types of thresholding the function supports that are
determined by thresholdType.
thresholdType=CV_THRESH_BINARY:
dst(x,y) = maxValue, if src(x,y)>threshold
0, otherwise
thresholdType=CV_THRESH_BINARY_INV:
dst(x,y) = 0, if src(x,y)>threshold
maxValue, otherwise
thresholdType=CV_THRESH_TRUNC:
dst(x,y) = threshold, if src(x,y)>threshold
src(x,y), otherwise
thresholdType=CV_THRESH_TOZERO:
dst(x,y) = src(x,y), if (x,y)>threshold
0, otherwise
thresholdType=CV_THRESH_TOZERO_INV:
dst(x,y) = 0, if src(x,y)>threshold
src(x,y), otherwise
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IVision_ConvertColor.vi
Converts image from one color space to another. BGR<->gray,
BGR->HSV and lot more...
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IVision_LookUpTable.vi
The function fills the destination image with values of look-up table
entries. Indices of the entries are taken from the source image. That is, the
function processes each pixel as follows:
B(x,y)=lut[A(x,y)+delta]
where delta is 0 for 8-bit unsigned source image type and 128 for 8-bit
signed source image type.
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