Refinement of segmentation markup
First Claim
Patent Images
1. A method comprising:
- receiving a binary mask associated with a segmentation of an image;
receiving a user selection, via a user input device, of a portion of said image to be corrected;
creating a binary markup mask associated with said user selection; and
applying said binary markup mask to said binary mask associated with said segmentation of said image to revise said binary mask associated with said segmentation of said image to locate errors in said segmentation using said binary markup mask.
3 Assignments
0 Petitions
Accused Products
Abstract
Systems for refinement of a segmentation of an image using spray-paint markup are disclosed, with methods and processes for making and using the same. Spray-paint markup allows for easy markup of errors in a segmentation. The markup'"'"'s data may be correlated or harmonized with the representation of the segmentation, such that it may be applied to the segmentation. The markup'"'"'s data is utilized to refine the segmentation errors. To assist in the refinement process, the resolutions may be scaled down so as to exert less computation burden during the process.
-
Citations
17 Claims
-
1. A method comprising:
-
receiving a binary mask associated with a segmentation of an image; receiving a user selection, via a user input device, of a portion of said image to be corrected; creating a binary markup mask associated with said user selection; and applying said binary markup mask to said binary mask associated with said segmentation of said image to revise said binary mask associated with said segmentation of said image to locate errors in said segmentation using said binary markup mask. - View Dependent Claims (2, 3, 4, 5, 6)
-
-
7. A non-transitory computer readable storage medium having computer-readable program code stored thereon for causing a processor to implement a method comprising:
-
receiving a binary mask associated with a segmentation of an image; receiving a user selection, via a user input device, of a portion of said image to be corrected; creating a binary markup mask associated with said user selection; applying said binary markup mask to said binary mask associated with said segmentation of said image to revise said binary mask associated with said segmentation of said image; and determining uncertainty associated with said user selection, wherein said uncertainty is based on a width of a graphical rendition on a graphical user interface that is associated with said user input device, and wherein said uncertainty is further based on sloppiness associated with said user selection. - View Dependent Claims (8, 9, 10, 11, 12)
-
-
13. A computer system comprising:
-
a processor; a display; and a memory coupled to said processor and said display, wherein said memory comprises computer-readable program code stored thereon for causing said processor to implement a method comprising; receiving a binary mask associated with a segmentation of an image; receiving a user selection, via a user input device, of a portion of said image to be corrected; creating a binary markup mask associated with said user selection; applying said binary markup mask to said binary mask associated with said segmentation of said image to revise said binary mask associated with said segmentation of said image; and determining uncertainty associated with said user selection based on Gaussian random processes. - View Dependent Claims (14, 15, 16, 17)
-
Specification