Image Contiguity Analysis for Object Recognition
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Solution Overview
Problem
Current computer image recognition methods, such as Microsoft Caption AI, often inaccurately identify objects or miss details and relationships in images, highlighting a need for improved image analysis techniques that can accurately identify contiguity characteristics and enhance object recognition.
Innovation Solution
A system and method that analyze images by identifying contiguity characteristics, such as uniform color regions and lines, using techniques like stitching and peeling, to facilitate accurate object recognition and image classification, employing logic circuits and AI for training and interpreting images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image recognition methods are used, then processing speed is maintained, but measurement precision of object identification deteriorates
Solution Approach 1:
The patent segments the image analysis process into distinct modules: contiguity detection identifies continuous regions of similar pixels, edge detection finds boundaries between regions, and object recognition combines these features. This segmentation allows each module to specialize in specific tasks, improving overall accuracy without requiring a complete redesign of the entire system.
Solution Approach 2:
The patent performs preliminary contiguity analysis and edge detection before final object recognition. By pre-processing images to identify continuous regions and boundaries first, the system prepares structured data that facilitates more accurate and efficient object identification in subsequent processing stages.
2Measurement precision
If detailed image analysis is performed to improve recognition accuracy, then measurement precision improves, but loss of time increases
Solution Approach 1:
By dividing image analysis into parallel contiguity detection and edge detection operations that can be performed simultaneously on different image regions, the system achieves detailed analysis without linearly increasing processing time. Each segment processes specific features independently, then results are combined for final recognition.
Solution Approach 2:
The patent applies contiguity analysis selectively to regions of interest rather than uniformly processing entire images. By focusing computational resources on areas containing potential objects or features of interest, the system achieves high accuracy where needed while reducing unnecessary processing in irrelevant regions.
Data Source
AI summary
A method of identifying and analyzing contiguities in images is disclosed. The contiguities are indicative features and various qualities of an image, which may be used for identifying objects and/or relationships in images. Alternatively, the contiguities may be helpful in ensuring that an image has a desired figure-ground ambiguous switch between percepts, so as to create a desired effect when combined with other images to generate a composite image set. The contiguity may be a group of picture elements that are adjacent to one another that form a continuous image element that extends generally horizontally (e.g., diagonally, horizontally and/or vertically) across the image.