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This site is devoted to mathematics and its applications. Created and run by Peter Saveliev.

Category:Locations

From Intelligent Perception

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In many image analysis application, the locations of the objects are most important. By "locations" we mean the centroid of each object in the image. The data comes from Pixcavator's output table.



Learn how to use Pixcavator!

Below you'll find a few examples of image analysis with Pixcavator.

Pages in category "Locations"

The following 25 pages are in this category, out of 25 total.

A

  • Analysis of SEM images of alloy

B

  • Bubble sheets

C

  • Cell counting
  • Character recognition
  • Counting and measuring lots
  • Counting chocolates in a box

D

  • Defective spring
  • Drusen contours

H

  • High throughput screening

H cont.

  • Hose measurements
  • Human vision vs. computer vision

I

  • Image analysis for a hand-held diagnostic device
  • Inspecting semiconductor wafers

M

  • Measuring electronic components
  • Medical testing device
  • Membranes containing proteins
  • Metallurgical image analysis
  • Microarray analysis

M cont.

  • Micropallet arrays
  • Microscopy of surfactants
  • Mobility and distribution of chlorophyll proteins
  • Mosaic making

S

  • Sub-pixel accuracy for distance measurement

T

  • Testing vaccine spray/aerosol droplets
  • Transversal section of a root
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Categories: Applications | Software | Image analysis | Pixcavator | Geometry
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