IDS peak 2.10.0 / uEye+ firmware 3.34
IDS Peak comfortSDK, genericSDK, IPL, and AFL developer manuals are external documents. Please contact us if you need them.
Querying image information: horizontal and vertical intensity profile
First, create an object of the type "PixelColumn" for the corresponding column. Then, read out a vector with the existing color channels. For each color channel there is a vector with values for each pixel of the column.
Accessing the image column at position x = 100 or image row at position y = 200 (peak::ipl::Image)
Note: The IDS peak IPL is described in a separate documentation.
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peak::ipl::PixelColumn col(image, 100); |
Querying the number of color channels
The number of color channels is the same for row and column.
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int numberChannelsColumn = col.Channels().size(); |
Accessing the individual color channels of the image
Depending on whether the format is RGB or BGR, the first channel in the vector (index = 0) has red or blue pixel values. In a Bayer image, the number of channels = 1 and the pixel values are Bayer pixels.
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auto channelsColumn = col.Channels(); |
Accessing the values in each color channel
genericC++ |
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auto values = channel.Values; |
Combined call
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peak::ipl::PixelRow row(image, 200); |
Example: Iteration through the whole image in y-direction (each line, each pixel value per line)
Histogram
You can retrieve a histogram over the complete image as follows. The procedure is similar to the horizontal and vertical intensity profile.
Generating the histogram
genericC++ |
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peak::ipl::Histogram histogram(image); |
Querying the number of channels
genericC++ |
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auto numberChannels = histogram.Channels().size(); |
Getting a special channel
genericC++ |
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auto channel = histogram.Channels().at(0); |
Getting the frequency of a special pixel value in the corresponding channel
An 8-bit/channel image may have pixel values from 0 to 255 per channel. The frequency of a pixel value in the whole image is summed up in the histogram. For each pixel value from 0 to 255 there is a so-called "bin", which can be used to read out the frequency. For example, you can use the bin at position 14 in the vector to read out how often the pixel value 14 is present in the whole image (in the corresponding channel).
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auto numberOfBins = channel.Bins.size(); |
