Message-ID: <467525717.315.1571208453363.JavaMail.confluence@ip-10-0-0-124.us-west-2.compute.internal> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_314_1910703186.1571208453362" ------=_Part_314_1910703186.1571208453362 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html IceMan - Analysis

IceMan - Analysis

list Boun= dingBox(pixel)

Find the bounding box of all pixels that are greater than the specified = threshold.

It makes no sense for the threshold to be anything but a card

The list returned has four elements that are; (origin x, origin y, size = x, size y)

Parameters

pixel

Threshold (ice.Image).

ice.Image Mean(box)

Computes the average value of each channel over a specified rectangular = region. An image is returned, but it is always 1x1, the single pixel repres= enting the mean.

Parameters

box

Mean computed over this region (list).

list Histog= ram(nBins, range)

Returns an List of histograms, one for each channel. Each histogram is a= List

For efficiency reasons, Fractional (8-bit) images always return histogra= ms with 256 bins.

Parameters

nBins

Number of bins in histogram (int).

range

Range of values to bin (list).

ice.Image Range(computeBox, interv= al)

Computes the range of each channel in the image. Values outside of the i= nterval have no effect on the result. The result is an image with two pixel= s: the first at (0,0) contains minimum values for each channel, and the sec= ond at (1,0) the maximum values. The result image has the same ply as the i= nput image. You can pass this range image directly to the Normalize operato= r

This operation is not lazy-evaluated: if called on an existing expressio= n, it will trigger evaluation.

Parameters

computeBox

Region over which range is compute= d (list).

interval

Minimum and maximum pixel value to consider (list).

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