The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 10, 2017

Filed:

Nov. 20, 2015
Applicant:

Adobe Systems Incorporated, San Jose, CA (US);

Inventors:

Byungmoon Kim, Sunnyvale, CA (US);

Gagan Singhal, Sri Nagar, IN;

Assignee:

Adobe Systems Incorporated, South Gate, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 11/60 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 11/60 (2013.01); G06T 7/0085 (2013.01);
Abstract

In various implementations, methods and systems are disclosed for accurately selecting a targeted portion of a digital image. In one embodiment, a selection cursor having a central and a peripheral region is provided. The central region is used to force a selection or a deselection and therefore moving the central region over a portion of the image causes that portion of the image to be selected or deselected, respectively. The peripheral region of the cursor surrounds the central region and defines an area where a hybrid level set algorithm for both boundary detection and region definition, particularly a matting region, is performed. This provides highly accurate boundary detection and matting region selection within a narrowly-focused peripheral region and eliminates the need to subsequently designate a matting region and apply a matting algorithm to complex portions of an object selection. Thus moving the peripheral region of the selection cursor over a boundary of the targeted portion of the image applies the hybrid algorithm in that boundary region, increasing the likelihood that the boundary will be detected accurately, and further defining at least a matting region along the detected boundary for an even more refined selection.


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