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:
Nov. 05, 2013

Filed:

Apr. 30, 2010
Applicants:

Kazuki Aisaka, Kanagawa, JP;

Masaya Kinoshita, Kanagawa, JP;

Takashi Kameya, Kanagawa, JP;

Jun Murayama, Tokyo, JP;

Masatoshi Yokokawa, Kanagawa, JP;

Inventors:

Kazuki Aisaka, Kanagawa, JP;

Masaya Kinoshita, Kanagawa, JP;

Takashi Kameya, Kanagawa, JP;

Jun Murayama, Tokyo, JP;

Masatoshi Yokokawa, Kanagawa, JP;

Assignee:

Sony Corporation, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

The present invention relates to an image processing apparatus and method, and a program that are capable of more easily identifying an area of a subject in an image. A luminance information extraction unitthrough to a motion information extraction unitextract predetermined information from an input image and create an information map indicating feature quantities of features possessed by an area of a subject of the input image. Furthermore, the luminance information extraction unitthrough to the motion information extraction unitsubtract an average value of the pixel values of the pixels of the entire information map from the pixel value of each pixel of the created information map so as to normalize the information map. As a result, the information map can be normalized, and noise can be removed with a simple process when compared to a case in which the information map is normalized using a DOG filter. A subject map creation unitlinearly combines each information map, and creates a subject map indicating the likelihood of an area being a subject in each area of an input image. The present invention can be applied to an image processing apparatus.


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