For "Put result in", select "New Image". When you hit "Apply" your new sequence will be generated. It assumes that the gray level histogram is the sum of two normal intensity distributions two classes : Object pixels and background pixels. The threshold is usually not obvious because the two distributions overlap.
The trick is to find where the two distributions intersect By the way, even when the histogram has a clear valley, the threshold is not necessarily at the bottom of that valley.
For each gray level t along the histogram h t , the algorithm calculates the variance of the two portions of the histogram lying on each side of t v1 t and v2 t. It picks the gray level threshold that minimizes the sum of the two normalized variances. This variance is sometimes called the "within-class" variance, and can be expressed as:. In practice, instead of minimizing vw t , the algorithm maximizes the "between-class" variance. It's faster, more complicated to explain, but it's the same exact thing.
Press the "OK" button to accept and then press the Count button to count the objects. Open the statistics table by selecting the View Statistics menu and observe the row called "Sum" in the table. In the column called PerArea and the row Sum, if found a decimal number. This decimal number multiplied by gives the percent area of objects in you image. Before working with the data sheet, you should take a moment to review the display to make sure you are satisfied with the objects that have been extracted — you may want to eliminate extraneous objects, separate clusters that have been counted as a single object, or combine separate outlines into one.
When you have finished drawing the polygon, the specified measurements for that shape will also be added to the data sheet. Note - You can draw a polygon that defines an object that doesn't visibly exist in your image. This is usually done to define a region from which population density can be calculated.
To combine two closely positioned objects into a single object, simply draw a narrow polygon that connects not outlines the two existing objects.
Merging many objects in such a manner might be done to develop area outlines for population density analysis see Population Density Analysis. Split Objects: This option lets you manually divide clusters into single objects. Dividing is done drawing a division line between the objects you want to separate. After separation, the measurement data sheet will be updated to reflect the additional object, and the measurements of the original object will be adjusted to reflect the remaining object.
Auto Split: You can also use the Auto Split command to instruct Image-Pro to analyze all existing outlines and automatically split any clustered objects it finds. Of course, not all clustered objects can be separated with Auto Split; in general, circular objects with minimal overlap work best. Use the following criteria for determining whether your objects are clustered in a way that can be easily separated by the Auto Split operation:.
An object is considered convex if all lines joining two points of the outline fall within the object. Note - Image-Pro splits objects with a straight line.
It does not attempt to reconstruct the missing or hidden portions of an object. If the Auto Split command does not yield satisfactory results, try using the Watershed Split. This method does not rely on object concavities to determine lines of separation.
Instead it erodes an object until it disappears, then dilates it back to its initial size, but does not allow it to touch its neighbors. Watershed Split: Use the Watershed Split to automatically analyze every counted object and split clusters using the Watershed separation technique.
The Watershed method erodes objects until they disappear, then dilates them again such that they do not touch. Detect edges and derive distance measurements using the Caliper tool. Detect co-localization in biological specimens and graphically display the association between the two sets of data in a scatter plot.
Manually or automatically follow cells or other organisms as they move through time and space. Use correlation tracking to follow objects when image segmentation is difficult or not possible. Track and graph the changing of intensity parameters over time within an area of interest.
Visualize Image Data Visualize image data with scattergrams, histograms, and line profiles. Point out features of interest and add text to your images with Annotation overlay tools. DWGSee Pro. Mount Image Pro. L-View Pro. Frame Maker Pro. Astra Image Pro. Batch Office to Image Pro. How to plan your home on PC. How to learn to draw on PC.
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