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Our tracking framework relies on a prior visual segmentation of the object in the image.
To find a position of an object in the image, first, the position of the object in the image should be determined.
Classification/Matching: Identifying the object in the image in relation to a reference set of objects.
Figure 1 Reconstruction of a point object in the image map.
Erosion is the process of shrinking an object in the image, leaving it smaller in area.
This information could be used for present or absence of object in the image.
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Suppose that there are objects in the image field.
Counting nuclei is similar to counting objects in the image.
The same procedure is repeated for all the other objects in the image field.
It is a measure of the gappiness, texture, and heterogeneity of the objects in the image.
This transform acts as shape detection of the objects in the image [16].
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