SYSTEM AND METHOD FOR DISPLAY SPEED CONTROL OF CAPSULE IMAGES

• US 20110135170A1
• Filed: 12/09/2009
• Published: 06/09/2011
• Est. Priority Date: 12/09/2009
• Status: Abandoned Application

• Current Assignee: CapsoVision, Inc.
• Original Assignee: CapsoVision, Inc.
• Inventors: Wang, Kang-Huai
• Application Number:
  US12/634,009
• Publication Number:
  US 20110135170A1
• Time in Patent Office: Days
• US Class Current: 382/128
• CPC Class Codes: A61B 1/000095 for image enhancement
• CPC Class Codes: A61B 1/041 Capsule endoscopes for imaging
• CPC Class Codes: G06T 2207/10068 Endoscopic image
• CPC Class Codes: G06T 2207/30028 Colon; Small intestine
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/42 using transform domain methods
• CPC Class Codes: G06T 7/44 using image operators, e.g. filters, edge density metrics or local histograms
• CPC Class Codes: G06V 2201/03 Recognition of patterns in medical or anatomical images
• CPC Class Codes: H04N 19/132 Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
• CPC Class Codes: H04N 19/14 Coding unit complexity, e.g. amount of activity or edge presence estimation H04N19/146 takes precedence
• CPC Class Codes: H04N 19/172 the region being a picture, frame or field
• CPC Class Codes: H04N 19/46 Embedding additional information in the video signal during the compression process H04N19/517, H04N19/68, H04N19/70 take precedence
• CPC Class Codes: H04N 19/60 using transform coding

Abstract

Systems and methods are provided for display speed control of images captured from a capsule camera system. For capsule systems, with either digital wireless transmission or on-board storage, the captured images will be played back for analysis and examination. During playback, the diagnostician wishes to find polyps or other points of interest as quickly and efficiently as possible. The present invention discloses systems and methods for display speed based on image complexity. A higher visual complexity will result in longer display time so that the diagnostician can examine the underlying images longer. Conversely, a lower visual complexity will result in shorter display time. The visual complexity may be derived from image contours/edges or spatial frequencies.

Claims

1. A method for processing images from a capsule camera, the method comprising:

receiving images, wherein the images are captured by a capsule camera;

determining image characteristics, wherein the image characteristics include image spatial complexity; and

tagging the image with a temporal factor based on the determined image characteristics.

2. The method of claim 1, wherein the received images are stored with the associated temporal factors.

3. The method of claim 1, wherein the received images are stored as a target video data based on the associated temporal factors and a global temporal speed, wherein each of the received images is omitted in the target video data, or outputted to the target video data once or a plurality of times according to the temporal factor associated with the image and the global temporal speed.

4. The method of claim 1, wherein the received images are displayed on a display based on the associated temporal factors and a global temporal speed, wherein each of the received images is skipped, or displayed on the display once or a plurality of times according to the temporal factor associated with the image and the global temporal speed.

5. The method of claim 1, wherein the received images are in a compressed format using a DCT-based compression method and the image spatial complexity is determined based on partial DCT coefficients.

6. The method of claim 1, wherein the received images are in a compressed format using a DCT-based compression method and the image spatial complexity is determined based on compressed image file size.

7. The method of claim 1, wherein the image spatial complexity is determined based on summation of blocks variances of the image.

8. The method of claim 1, wherein the image spatial complexity is determined based on edge feature.

9. The method of claim 8, wherein the edge feature is determined based on processing selected from the group consisting of Sobel operator and convolution masks.

10. The method of claim 1, wherein the image characteristics further include temporal complexity.

11. The method of claim 10, wherein the received images are stored with the associated temporal factors.

12. The method of claim 10, wherein the received images are stored as a target video data based on the associated temporal factors and a global temporal speed, wherein each of the received images is omitted in the target video data, or outputted to the target video data once or a plurality of times according to the temporal factor associated with the image and the global temporal speed.

13. The method of claim 10, wherein the image temporal complexity is determined based on motion evaluation between the image and a prior image

14. The method of claim 10, wherein the image spatial complexity is determined based on a simplified gradient method, wherein the gradient method calculates one-dimensional gradient values or two-dimensional gradient values.

15. A system for processing images from a capsule camera, the system comprising:

an input interface module coupled to receive images from a capsule camera system;

a processing module configured to determine image characteristics of the received image, wherein the image characteristics include image spatial complexity; and

an output processing module configured to generate outputs comprising the received image and a temporal factor based on the determined image characteristics.

16. The system of claim 15, wherein the output processing module further provides the received images and the associated temporal factors for storage.

17. The system of claim 15, further comprising an output interface module coupled to the output processing module, wherein the output interface module controls the received images being outputted to a target video data based on the associated temporal factors and a global temporal speed, wherein each of the received images is omitted in the target video data, or outputted to the target video data once or a plurality of times according to the temporal factor associated with the image and the global temporal speed.

18. The system of claim 15, further comprising a display interface module coupled to the output processing module, wherein the display interface module controls the received images being displayed on a display based on the associated temporal factors and a global temporal speed, wherein each of the received images is skipped, or displayed on the display once or a plurality of times according to the temporal factor associated with the image and the global temporal speed.

19. The system of claim 15, wherein the image characteristics further include temporal complexity.

20. The system of claim 19, wherein the output processing module further provides the received images and the associated temporal factors for storage.

21. The system of claim 19, further comprising an output interface module coupled to the output processing module, wherein the output interface module controls the received images being outputted to a target video data based on the associated temporal factors and a global temporal speed, wherein each of the received images is omitted in the target video data, or outputted to the target video data once or a plurality of times according to the temporal factor associated with the image and the global temporal speed.

22. The system of claim 19, further comprising a display interface module coupled to the output processing module, wherein the display interface module controls the received images being displayed on a display based on the associated temporal factors and a global temporal speed, wherein each of the received images is skipped, or displayed on the display once or a plurality of times according to the temporal factor associated with the image and the global temporal speed.

23. The method of claim 19, wherein the image temporal complexity is determined based on motion evaluation between the image and a prior image.