Thresholding and Segmenting Objects The overall objective of image processing operations is to extract the objects of interest and to distinguish them.

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Presentation transcript:

Thresholding and Segmenting Objects The overall objective of image processing operations is to extract the objects of interest and to distinguish them from other objects or from the background. Threshold values are set to define objects and non-objects in terms of their pixel values. Segmentation is the creation of a binary (black and white) image based on the threshold values. In Image-Pro, objects are white and non-objects are black.

Creating a Binary Mask Original ImageImage with ThresholdBinary Mask

A More Complex Example In this image there are several possible objects to measure... the screen itself holes in the screen the portion of screen without white areas the white areas within the screen

Thresholding on the Screen Screen

Thresholding on the Holes Holes

Thresholding on the White White only

Thresholding without White Screen w/o white

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