National Instruments IMAQTM Benutzerhandbuch

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minimum intensity, and maximum intensity. Use 

CWMachineVision.LightMeterRectangle

 to get the pixel 

value statistics within a rectangular region in an image.

Use 

CWIMAQVision.Quantify

 to obtain the following statistics about the 

entire image or individual regions in the image: mean intensity, standard 
deviation, minimum intensity, maximum intensity, area, and the percentage 
of the image that you analyzed. You can specify regions in the image with 
a labeled image mask. A labeled image mask is a binary image that has 
been processed so that each region in the image mask has a unique intensity 
value. Use 

CWIMAQVision.Label2

 to label the image mask.

Use 

CWIMAQVision.Centroid2

 to compute the energy center of the 

image, or of a region within an image.

Most image processing and analysis methods apply to 8-bit and 16-bit 
images. However, you can analyze and process individual components of a 
color image.

Using 

CWIMAQVision.ExtractColorPlanes

, you can break down 

a color image into various sets of primary components, such as 
RGB (Red, Green, and Blue), HSI (Hue, Saturation, and Intensity), 
HSL (Hue, Saturation, and Luminance), or HSV (Hue, Saturation, and 
Value). Each component becomes an 8-bit or 16-bit image that you can 
process like any other grayscale image. Use 

CWIMAQVision.ExtractSingleColorPlane

 to extract a single color 

plane from an image. Use 

CWIMAQVision.ReplaceColorPlanes

 to 

reassemble a color image from a set of three 8-bit or 16-bit images, where 
each image becomes one of the three primary components. Figures 3-3 
and 3-4 illustrate how a color image breaks down into its three components.