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US 12,597,280 B2Granted
Image processing system, image processing method, and program
AssigneeRakuten Group, Inc.
InventorYeongnam Chae
Life of this patent
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Abstract
At least one processor of an image processing system acquires a target object image including a target object. The at least one processor executes matching for the target object image based on a template image including a feature about the target object. The at least one processor analyzes a plurality of scores acquired through the matching. The at least one processor determines, based on a result of analysis of the plurality of scores, whether the target object in the target object image is blurred.
Claims17
An image processing system, comprising at least one processor configured to:
- acquire a target object image including a target object;
- execute matching for a first region of pixels of the target object image based on a second region of pixels of a template image including a feature about the target object;
- wherein the template image is clear;
- analyze a plurality of scores indicating a degree of similarity between each pixel of the first region and the second region acquired through the matching;
- determine whether the target object in the target object image is blurred, based on a result of the analysis of the plurality of scores;
- not execute a further processing of the target image when the target object is determined to be blurred;
- wherein four regions in each of the template image and the target image undergo execution matching;
- wherein the at least one processor is configured to analyze the plurality of scores acquired for each of a plurality of template images by calculating one index based on the plurality of scores acquired for each template image;
- and
- wherein the at least one processor is configured to determine whether the target object in the target object image is blurred by comparing the index to a blur determination threshold.
7 more elements
An image processing method, comprising:
- acquiring a target object image including a target object;
- executing matching for a first region of pixels the target object image based on a second region of pixels of a template image including a feature about the target object;
- wherein the template image is clear;
- analyzing a plurality of scores indicating a degree of similarity between each pixel of the first region and the second region acquired through the matching;
- determining whether the target object in the target object image is blurred, based on a result of the analysis of the plurality of scores;
- not execute a further processing of the target image when the target object is determined to be blurred;
- wherein four regions in each of the template image and the target image undergo execution matching;
- analyzing the plurality of scores acquired for each of a plurality of template images by calculating one index based on the plurality of scores acquired for each template image;
- and
- determining whether the target object in the target object image is blurred by comparing the index to a blur determination threshold.
7 more elements
A non-transitory computer-readable information storage medium for storing a program for causing a computer to:
- acquire a target object image including a target object;
- execute matching for a first region of pixels the target object image based on a second region of pixels of a template image including a feature about the target object;
- wherein the template image is clear;
- analyze a plurality of scores indicating a degree of similarity between each pixel of the first region and the second region acquired through the matching;
- determine whether the target object in the target object image is blurred, based on a result of the analysis of the plurality of scores;
- and
- not execute a further processing of the target image when the target object is determined to be blurred;
- wherein four regions in each of the template image and the target image undergo execution matching;
- analyze the plurality of scores acquired for each of a plurality of template images by calculating one index based on the plurality of scores acquired for each template image;
- and
- determine whether the target object in the target object image is blurred by comparing the index to a blur determination threshold.
8 more elements
Dependencies are inferred from the claim text.