Image Cell Substitution for Object Recognition Accuracy
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Solution Overview
Problem
Image recognition systems face challenges in accurately identifying embedded objects within images, especially when they are surrounded by extraneous background information, leading to reduced matching efficiency and irrelevant search results.
Innovation Solution
A system and method that utilize an image manipulating application to divide an object image into discrete cells, allowing for the substitution of predefined image information to create translated versions of the object image, which are then processed by an image recognition capable search engine to enhance object identification and provide relevant search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire object image is provided to the search engine, then the search engine can process the complete image information, but the background information reduces the accuracy of object recognition
Solution Approach 1:
The patent divides the object image into multiple discrete cells using an image manipulating application. This segmentation allows the system to separate and process only the relevant object portions while excluding extraneous background information, thereby improving recognition accuracy without losing essential object data.
Solution Approach 2:
The patent extracts and removes background information from the image by substituting predefined image information for selected discrete cells containing background data. This extraction process eliminates harmful background elements while preserving the object information needed for accurate recognition.
2Measurement precision
If predefined image information is substituted for image information in discrete cells, then background information is removed to improve recognition accuracy, but the image manipulation process increases device complexity
Solution Approach 1:
The patent uses predefined image information (placeholders or templates) to substitute for background regions in the discrete cells. This copying approach simplifies the manipulation process by replacing complex background removal operations with straightforward substitution of pre-defined image data, reducing computational complexity while maintaining recognition accuracy.
3Measurement precision
If multiple translated versions of the object image are generated and processed iteratively, then search results can be refined and improved, but the processing time and computational resources increase
Solution Approach 1:
The patent generates multiple translated versions of the object image by substituting predefined information in different discrete cells, creating a set of varied images for iterative processing. This partial action approach allows the system to explore multiple possibilities and refine search results through iterative processing, balancing processing time with result quality improvement.
Data Source
AI summary
A system and method uses an image manipulating application to define in an object image a plurality of discrete cells. Predefined image information is substituted for image information in selected ones of the plurality of discrete cells to form a translated version of the object image. The translated version of the object image may then be provided to an image recognition capable search engine to obtain search results.