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Pixcavator finds
objects in the image. They are automatically
captured inside contours and listed in a
table along with their sizes, locations, and other characteristics.
The analysis goes through three stages:
Stage 1: automatic. The software creates a data structure that contains the complete information
about the content of the image.
Stage 2: semi-automatic. As the user moves sliders corresponding to objects’ characteristics, they instantly change their contours so that the user can choose the best segmentation. The output
table is also updated instantly.
Stage 3: manual. The user can remove irrelevant details from the output
by simply clicking on them.
Take a tour below (click on the image to see the full screenshot). For more examples of image analysis with Pixcavator,
see our
image gallery
and especially our
wiki.
Load the image...
Push "Run" and in
couple of seconds you can view the preliminary results...
The segmentation is unsatisfactory, so let's adjust the sliders...
This is better but there are still a few meaningless details. Remove these contours by clicking on them...
The result is acceptable.
To confirm let's color the cells...
We can also remove the background...
We can also explore the list of objects on the right - locations, measurements,
etc.
At any point you can save the table as a spreadsheet to your hard disk...
For more details on how
to use the software, please read our
Tutorial.
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