Computer Vision Primer: beginner's guide to methods of image analysis, data analysis, and related math, image analysis software, applications in sciences and engineering.

From Computer Vision Primer

Here we have a few examples of how Pixcavator is used to analyze images in a variety of situations. Most of the images came from our users. Most are related to microscopy but many interesting ones aren't. Almost none of the analysis examples require prior image processing. To determine if your image may be good candidate for analysis with Pixcavator, see also Images appropriate for analysis.

While looking at the analyzed images, observe that the analysis settings are appended to the name of the original image (for example, cells_100_20.bmp is the image that displays the results of the analysis of cells.bmp with the settings: size = 100, contrast = 20). This way you can easily reproduce the results on your own. There are also screenshots that show the settings.

Consider these (overlapping) categories or use the complete list below:

1. Publications that use Pixcavator
2. Microscopy
3. Medical image analysis
4. Machine vision
5. Particle and cell analysis
6. Maps and satellite imaging
7. Calibration
8. Counting
9. Measuring
10. Image statistics
11. Locations
12. Color image analysis
13. Customization
14. Fun with image analysis

We encourage using Pixcavator's screenshots in presentations, publications, reports, etc. Many users have done this previously and we appreciate that they give us the credit. For the legal details see Pixcavator's user's license and Terms and conditions.

Complete list:

1. Analysis of sample images (synthetic images and standard images)
2. Flow-through pore diameters (paper)
3. Control of electron transport (paper)
4. Inspecting semiconductor wafers (machine vision)
5. Cell counting (measuring etc)
6. Measuring staining in the liver
7. Cell metal segregation and ultramicroscopy
8. Blood vessels (not very successful)
9. Evaluating ratio meat/fat
10. Character recognition (aka OCR)
11. Image analysis for a hand-held diagnostic device (arrays)
12. Mosaic making (fun)
13. Optical illusions (fun)
14. Microarray analysis (HTC)
15. Drusen contours (ophthalmology)
16. Counting sealed brood in bee frames
17. Measuring the volume of prostate cancer tumor (slice by slice)
18. Measuring holes in a gasket (calibration)
19. Ophthalmology diagnosis
20. Detecting a small breast cancer tumor
21. MRI (under construction)
22. Solar flares (astronomy)
23. Cellular structures (cell counting)
24. Iceberg is born (satellite imaging)
25. Metallurgical image analysis
26. Crystallites (counting particles)
27. Measurement statistics of fibers
28. Thermal imaging (night vision)
29. Wall of a blood vessel (measuring thickness)
30. Medical testing device
31. Measuring chromosomes (not quite successful)
32. Measuring electronic components
33. Testing vaccine spray/aerosol droplets
34. High throughput screening (paper)
35. Counting fixed and live red blood cells
36. Melanoma (ABCD analysis)
37. Counting and measuring lots (real estate)
38. Corneas of rats (paper)
39. Evaluation of quality of seeds (paper)
40. Micropallet arrays
41. Nanotechnology (counting particles)
42. Corneal endothelial cells of the human eye (hexagonal cells)
43. Particle cleaning process
44. Measuring a needle
45. Measuring micromechanical parameters of fiberglass
46. Counting cones in a mouse's retina
47. Measuring length of fish in petri dish
48. Transversal section of a root (measuring)
49. Circumference of a coral lesion
50. Counting chocolates in a box
51. Defective spring
52. Microscopy of surfactants
53. Membranes containing proteins
54. Particle statistics with calibration
55. Satellite image of Sicily
56. Counting stained DNA
57. Immunohistochemistry on lung biopsies
58. Cluster size effects in molecular beam scattering (paper)
59. Measure vegetation coverage
60. Hose measurements
61. Measuring seedling area

Send us more images! But first read about Pixcavator technical support.

See also this point-by-point comparison of Pixcavator and ImageJ.