Segmentation using Discontinuity Property :•Select one:NoneThis involves detection of  object  in the imageThis involves detection of  isolated  POINTs and  LINEs and   EDGEs  in the image

The statement is referring to a method of image segmentation based on the discontinuity property. Image segmentation is a process in image processing that divides an image into multiple segments to simplify or change the representation of an image into something more meaningful and easier to analyze.

Here's a step-by-step explanation:

1. The first step in this method is the detection of objects in the image. This is done by identifying differences in color, intensity, or texture in the image.

2. The next step involves the detection of isolated points in the image. These are individual pixels that differ significantly from their surrounding pixels.

3. The method also involves detecting lines in the image. These are a series of pixels of the same or similar intensity or color that form a line.

4. Finally, the method involves detecting edges in the image. Edges are boundaries between different regions in an image. They are identified by a sudden change in color or intensity.

So, in summary, segmentation using the discontinuity property involves detecting objects, points, lines, and edges in an image to divide the image into segments.