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open ( integer Input, integer Output , integer Iterations, integer Probe )

Use this function to separate narrowly connected bright objects and remove small ones. The function works by applying the
erode function followed by dilate. The shape and size of the neighborhood pattern is selected with the Probe parameter. The process could be repeated in a number of successive Iterations that correspond to the distance the boundaries of objects will shrink and expand back.


An integer between 0 and 116 specifying the input image frame number. A value of 0 represents the DMA memory buffer of the video device. Values in the range of 100-116 correspond to hidden frames.  
An integer between 1 and 116 specifying the output image frame number. Values in the range of 100-116 correspond to hidden frames.  
A positive integer specifying how many times the operation will be applied.  
An enumerated integer that describes the shape and size of the kernel used in the operation. The value is determined as a combination of four basic shapes constructed of 3 pixels:  
PR_VBAR=1 – vertical bar  
PR_BKSLASH=2 – diagonal bar (top left – bottom right)  
PR_HBAR=4 – horizontal bar  
PR_FWSLASH=8 –diagonal bar (bottom left – top right)  
The following frequently used shapes represent combinations of the basic shapes:  
PR_CROSS=5 – cross 3x3  
PR_DCROSS=10 – diagonal cross 3x3  
PR_SQUARE=15 – square 3x3  
You can also assign one kernel of size 5x5:  
PR_CIRCLE=16 – circle 5x5  
Error flags

The flag set if successful.  
The flag set if failed.  


This set of statements binarizes a sample image and applies 2 cycles of opening with the square probe: This successfully removes the background noise from the binary image.  
setCurDir ("samples")  
loadIm (1,"sample10.iwd")  
open (1,2,2,PR_CIRCLE)