Token Region Identification in Image Processing

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Solution Overview

Problem

Current computer vision applications face challenges in accurately separating illumination and material aspects of images, which affects the accuracy and efficiency of image processing and analysis.

Innovation Solution

A method and system that utilize spatio-spectral information to identify and separate illumination and material aspects of images by varying threshold values in selected areas, allowing for the identification of token regions based on pixel color comparisons, enabling the generation of intrinsic images that enhance image processing and computer vision applications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a single fixed threshold value is used for pixel color comparisons throughout the entire image, then the processing method is simple and fast, but the accuracy of identifying illumination and material aspects deteriorates due to inability to adapt to varying image conditions

Engineering Contradiction:

Improveaccuracy of separating illumination and materialVSAvoidcomplexity of threshold value handling

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies different threshold values to different regions of the image based on local characteristics. The system identifies token regions by comparing pixel colors to threshold values that are specifically adapted to each region's properties, allowing for accurate separation of illumination and material aspects while maintaining processing efficiency.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The threshold values are not fixed but are dynamically adjusted based on the image content and processing requirements. The system varies threshold values in selected areas of the image to optimize the separation process for different regions, improving overall accuracy without requiring a completely complex processing system.

Inventive Principle:

Principle #15Dynamics

2Measurement precision

If complex processing algorithms are used to separate illumination and material aspects, then the accuracy of image analysis improves, but the processing time and computational resources required increase

Engineering Contradiction:

Improveaccuracy of image analysisVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent segments the image into token regions based on pixel color comparisons. By dividing the image into distinct regions that can be processed independently with appropriate threshold values, the system achieves accurate separation of illumination and material aspects while reducing overall processing time through parallelizable operations.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes processing parameters (threshold values) based on the specific characteristics of each image region. This adaptive parameter adjustment allows the system to maintain high processing speed while achieving accurate results, avoiding the need for overly complex algorithms that would significantly increase processing time.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS8787662B2Method and system for identifying tokens in an image

Publication Date: 2014.07.22 INNOVATION ASSET COLLECTIVE

AI summary

In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying token regions in the image as a function pixel color comparisons relative to threshold values and varying the threshold values in selected areas of the image.