Systems and methods relating to enhanced peripheral field motion detection

• US 20060182362A1
• Filed: 11/23/2005
• Published: 08/17/2006
• Est. Priority Date: 11/23/2004
• Status: Abandoned Application

• Current Assignee: LumenIQ, Inc.
• Original Assignee: LumenIQ, Inc.
• Inventors: McLain, Peter, Steiner, Edward, Mancilla, Rick, Haring, Andrew
• Application Number:
  US11/286,135
• Publication Number:
  US 20060182362A1
• Time in Patent Office: Days
• US Class Current: 382/254
• CPC Class Codes: G06T 19/20 Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
• CPC Class Codes: G06T 2219/2012 Colour editing, changing, or manipulating; Use of colour codes
• CPC Class Codes: G06T 7/0012 Biomedical image inspection

Abstract

Systems and methods, etc., and the like for harnessing the human peripheral field motion detection (“PFMD”) system to detect and analyze features in a digital image, including the interpretation of images such as radiographic images in medical and other fields. The systems, methods, etc., include providing a series of images then providing and indicator such as applying magnitude enhancement analysis to an image selected due to recognition of the image by the PFMD by pausing at the image.

Claims

1. A method of identifying at least one image from a series of related images to subject the image to further analysis, comprising:

a) scrolling through a series images, each image having at least 2-dimensions, at a frame rate adequate for changes from one image to the next to invoke the viewer'"'"'s peripheral field motion detection (“

PFMD”

) system upon determination of apparent motion upon transition from one image to the next in the series;

b) automatically determining when the viewer pauses at a given image;

c) automatically stopping the series of image at the given image in response to the pause; and

d) providing an indicator indicating that viewer paused at the given image.

2. The method of claim 1 wherein the method further comprises subjecting the given image to magnitude enhancement analysis to provide a magnitude enhanced image, such that at least one relative magnitude across at least a substantial portion of the image is depicted in an additional dimension relative to the at least 2-dimensions such that additional levels of at least one desired characteristic in the image is substantially more cognizable to the viewer'"'"'s eye compared to the 2-dimensional image without the magnitude enhancement analysis.

3. The method of claim 1 wherein the frame rate is controlled by the viewer.

4. The method of claim 1 wherein a length of the pause adequate to invoke the stop is automatically determined.

5. The method of claim 1 wherein a length of the pause adequate to invoke the stop is set by the user.

6. The method of claims 1 wherein the pause must last longer than an automatically predetermined amount of time.

7. The method of claim 6 wherein a length of the pause is more than about 0.3 seconds.

8. The method of claim 1 wherein the image is a digital conversion of a photographic image.

9. The method of claim 1 wherein the magnitude enhanced image is displayed to the viewer as a cine loop.

10. The method of claim 9 wherein the cine loop comprises an automatically determined animation of at least one of roll, tilt or pan.

11. The method of claim 9 wherein the cine loop is determined by the user.

12. The method of claim 11 wherein the user can vary at least one of the roll, tilt, pan, angle and apparent location of the light source in the cine loop.

13. The method of claims 1 wherein the magnitude is grayscale.

14. The method of claim 1 wherein the magnitude comprises at least one of hue, lightness, or saturation.

15. The method of claim 1 wherein the magnitude comprises a combination of values derived from at least one of grayscale, hue, lightness, or saturation.

16. The method of claim 1 wherein the magnitude comprises an average intensity defined by an area operator centered on a pixel within the image.

17. The method of claim 1 wherein the magnitude is determined using a linear function.

18. The method of claim 1 wherein the magnitude is determined using a non-linear function.

19. The method of claim 1 wherein the series of images are medical radiographic images.

20. The method of claim 19 wherein the medical radiographic images are at least one of MRI, CAT, X-ray, MRA, and vascular CTA.

21. The method of claim 1 wherein the series of images are forensic images.

22. The method of claim 1 wherein the series of images are images from an industrial manufacturing plant.

23. The method of claim 1 wherein the series of images are satellite photographic images.

24. The method of claim 1 wherein the series of images are fingerprint, palmprint or footprint images.

25. The method of claim 1 wherein the series of images are non-destructive examination images.

26. The method of claim 25 wherein the cine loop is rotated in an about 30-60 degree arc.

27. The method of claim 1 wherein the series of images comprises a laterally-moving series of images whereby a subject is sliced by the images.

28. The method of claims 1 or 26 wherein the series of images comprises a series of images recorded of substantially the same site and over time.

29. The method of claims 1 or 26 wherein the series of images comprises a video or movie image sequence.

30. The method of claim 1 wherein the method further comprises automating at least one image variable selected from the group consisting of Z-axis height, roll, contrast, center movement, and directional lighting.

31. The method of claim 30 wherein the image variable is directional lighting and the method further comprises holding the image stationary, and alternating the apparent lighting of an object in the image between point source lighting and directional lighting.

32. The method of claim 30 wherein the image variable is directional lighting and the apparent light source moves between different positions in the image.

33. The method of claim 30 wherein the image variable is apparent motion within the image and the center of an object in the image appears to move closer to the screen, then recedes from it.

34. The method of claim 1 wherein the method further comprises providing at least one of a sound indicator or an optical indicator that indicates the pause occurred.

35. Computer-implemented programming that performs the automated elements of the method of claim 1.

36. A computer comprising computer-implemented programming that performs the automated elements of the method claim 1.

37. The computer of claim 36 wherein the computer comprises a distributed network of linked computers.

38. The computer of claim 36 wherein the computer comprises a handheld computer, and the method of claim 1 is implemented on the handheld computer.

39. The computer of claim 36 wherein the computer comprises a wirelessly connected computer, and the method claims 1 is implemented on the wireless computer.

40. A networked computer system comprising computer-implemented programming that performs the automated elements of the method of claim 1.

41. The networked computer system of claim 40 wherein the networked computer system comprises a handheld wireless computer, and the method of claim 1 is implemented on the handheld wireless computer.

42. A networked computer system comprising a computer according to claim 36.