US 2018/0322360 A1Published application

Recognition-based color corrections

AssigneeInternational Business Machines Corporation

InventorsJoseph Shtok, Asaf Tzadok

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Abstract

A method comprising: performing a first object recognition round on an image to detect at least a first object; matching the first detected object to a first reference object, thereby recognizing the first object; determining a chromatic adaptation transform between the first recognized object and the first reference object; applying the chromatic adaptation transform to the image; performing a second object recognition round on the chromatically adapted image to detect a second object that is different than the first recognized object; and matching the second detected object with a second reference object, thereby recognizing the second object.

Claims13

Dependent claims

A computer program product comprising a non-transitory computer-readable storage medium having program code embodied thereon, the program code executable by at least one hardware processor to:

perform a first computer-automated object recognition round on a digital image to recognize at least a first object,
wherein recognizing the first object comprises detecting the first object and matching the first object with a first reference object;
determine a chromatic adaptation transform between the first recognized object and the first reference object, by:
projectively transforming any of the first detected object and the first reference object to achieve a registration therebetween,
identifying one or more corresponding regions on each of the first recognized object and the first reference object having a stable color, and
computing a chromatic adaptation transform between the one or more corresponding regions of the first reference object and the first recognized object;
apply the chromatic adaptation transform to the digital image;
and
perform a second computer-automated object recognition round on the chromatically adapted digital image to recognize a second object that is different than the first recognized object,
wherein recognizing the second object comprises detecting the second object and matching the second object with a second reference object.

7 more elements

A system comprising:

(a) a non-transitory memory device having embodied thereon program code executable to:
perform a first computer-automated object recognition round on a digital image to recognize at least a first object, wherein:
(i) recognizing the first detected object comprises detecting the first object and matching the first object with a first reference object, and (ii) performing the first computer-automated object recognition round comprises activating a texture-based object recognition engine on a grayscale version of the digital image,
determine a chromatic adaptation transform between the first recognized object and the reference object,
apply the chromatic adaptation transform to the digital image,
perform a second computer-automated object recognition round on the chromatically adapted digital image to recognize a second object that is different than the first recognized object, wherein:
(iii) recognizing the second object comprises detecting the second object and matching the second object to a second reference object, and (iv) performing the second computer-automated object recognition round comprises applying a color-based object recognition algorithm on the digital image;
and
(b) at least one hardware processor configured to execute said program code.

6 more elements

A system comprising:

(a) a non-transitory memory device having embodied thereon program code executable to:
perform a first computer-automated object recognition round on a digital image to recognize at least a first object, wherein recognizing the first detected object comprises detecting the first object and matching the first object with a first reference object,
determine a chromatic adaptation transform between the first recognized object and the reference object, by:
(i) projectively transforming any of the first detected object and the first reference object to achieve a registration therebetween, (ii) identifying one or more corresponding regions on each of the first recognized object and the first reference object having a stable color, and (ii) computing a chromatic adaptation transform between the one or more corresponding regions of the first reference object and the first recognized object,
apply the chromatic adaptation transform to the digital image,
perform a second computer-automated object recognition round on the chromatically adapted digital image to recognize a second object that is different than the first recognized object, wherein recognizing the second object comprises detecting the second object and matching the second object to a second reference object;
and
(b) at least one hardware processor configured to execute said program code.

5 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/035,741Filed 16 Jul 2018
Priority: 10 Feb 2016
Published: 8 Nov 2018
Term ends: Not estimatedThe source records don’t support an estimate.

Classification11 codes

H04N 1/6033
Controlled by characteristics of the picture signal generator or the picture reproducer: using test pattern analysis
G06T 5/20
Image enhancement or restoration: using local operators
G06T 7/90
Image analysis: determination of colour characteristics
G06V 10/20
Arrangements for image or video recognition or understanding: image preprocessing

Family

Application15/019,976Continuation · filed 10 Feb 2016
Application16/035,741Continuation
US 10,108,876 B2Related patent
US 10,296,806 B2Related patent
US 2017/0228611 A1Published application
US 2018/0322360 A1This patent

From the US filing history. Foreign family members aren’t listed.

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