METHODS AND SYSTEMS FOR IMAGE PROCESSING OF DIGITAL IMAGES

• US 20170178342A1
• Filed: 12/22/2016
• Published: 06/22/2017
• Est. Priority Date: 12/22/2015
• Status: Abandoned Application

• Current Assignee: Interdigital Vc Holdings, Inc. (InterDigital, Inc.)
• Original Assignee: Thomson Licensing (Vantiva SA)
• Inventors: KERVEC, Jonathan, POULI, Tania, ABEBE, Mekides
• Application Number:
  US15/389,373
• Publication Number:
  US 20170178342A1
• Time in Patent Office: Days
• CPC Class Codes: G06T 2207/20012 Locally adaptive
• CPC Class Codes: G06T 2207/20044 Skeletonization; Medial axis transform
• CPC Class Codes: G06T 5/30 Erosion or dilatation, e.g. thinning
• CPC Class Codes: G06T 5/94 based on local image properties, e.g. for local contrast enhancement
• CPC Class Codes: G06T 7/11 Region-based segmentation
• CPC Class Codes: G06T 7/155 involving morphological operators

Abstract

Systems and methods of grouping image regions of an image and processing the image based on the different groups are disclosed. A system is provided including a processor and a memory storing instructions. The instructions cause the processor to obtain an image and determine multiple image regions of the image. A morphological skeleton is determined for each of the image regions, and distances between image regions are determined based on the morphological skeletons. Multiple groups of two or more of the image regions are determined based on the distances, and the image is processed based on the groups.

Claims

1. A system comprising:

a processor; and

a memory storing instructions configured to cause the processor to;

obtain an image;

determine a plurality of image regions of the image;

determine a morphological skeleton for each of the image regions;

determine distances between image regions based on the morphological skeletons;

determine a plurality of groups of two or more of the image regions based on the distances; and

process the image based on the groups.

2. The system of claim 1, wherein processing the image based on the groups includes declipping the image regions.

3. The system of claim 1, wherein determining the distances between the image regions includes determining endpoints of the morphological skeletons and determining distances between the endpoints.

4. The system of claim 3, wherein determining the distances between the image regions further includes determining node points of the morphological skeletons.

5. The system of claim 1, wherein determining the plurality of groups includes determining a shortest distance between image regions.

6. A method comprising:

determining a plurality of image regions in an image;

determining a morphological skeleton for each of the image regions;

determining distances between image regions based on the morphological skeletons;

determining a plurality of groups of two or more of the image regions based on the distances; and

processing the image based on the groups.

7. The method of claim 6, wherein processing the image based on the groups includes declipping the image regions.

8. The method of claim 6, wherein determining the distances between the image regions includes determining endpoints of the morphological skeletons and determining distances between the endpoints.

9. The method of claim 8, wherein determining the distances between the image regions further includes determining node points of the morphological skeletons.

10. The method of claim 6, wherein determining the plurality of groups includes determining a shortest distance between image regions.

11. A non-transitory computer-readable medium storing computer-executable instructions executable to perform a method comprising:

obtaining an image;

determining a plurality of image regions of the image;

determining a morphological skeleton for each of the image regions;

determining distances between image regions based on the morphological skeletons;

determining a plurality of groups of two or more of the image regions based on the distances; and

processing the image based on the groups.

12. The computer-readable medium of claim 11, wherein processing the image based on the groups includes declipping the image regions.

13. The computer-readable medium of claim 11, wherein determining the distances between the image regions includes determining endpoints of the morphological skeletons and determining distances between the endpoints.

14. The computer-readable medium of claim 13, wherein determining the distances between the image regions further includes determining node points of the morphological skeletons.

15. The computer-readable medium of claim 11, wherein determining the plurality of groups includes determining a shortest distance between image regions.