Image Processing Apparatus for Signal Source Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing signal source tracking technologies in motion sensing game systems and human-machine interaction systems face interference from background light sources, leading to inaccurate positioning and identification of signal sources.
Innovation Solution
An image processing apparatus and method that captures images with a subset of pixels representing signal sources, uses binarization and filtering to separate signal sources from background noise, and determines positions and identities by connecting neighboring pixels and grouping domains, even in the presence of interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If background light sources are present in the imaging environment, then the imaging device can capture more complete scene information, but the positioning precision and identification accuracy of signal sources deteriorate due to interference
Solution Approach 1:
The patent segments the image processing into distinct stages: binarization to separate signal pixels from background, connected domain analysis to group signal pixels, and stripe pattern recognition to identify signal sources. This segmentation allows the system to process complex scenes with background light sources while maintaining positioning precision by focusing computational attention on signal-relevant features only.
Solution Approach 2:
The patent extracts signal source information from the complete scene by using binarization to separate signal pixels (first pixel value) from background pixels (second pixel value). This extraction process removes background light source interference while preserving signal source characteristics, enabling accurate positioning and identification despite the presence of background illumination.
2Quantity of substance
If background light sources are present in the imaging environment, then the imaging device can capture more complete scene information, but the identification accuracy of signal sources deteriorates due to interference
Solution Approach 1:
The patent segments the identification process into connected domain analysis and stripe pattern recognition stages. By first grouping signal pixels into connected domains and then analyzing stripe patterns within these domains, the system reliably identifies signal sources even when background light sources are present, as the segmented approach isolates signal characteristics from background interference.
Solution Approach 2:
The patent extracts stripe pattern features from the binarized image to identify signal sources. By extracting only the relevant stripe characteristics (position, shape, intensity) from the separated signal regions, the system achieves reliable identification while ignoring background light source information that would otherwise cause misidentification.
3Measurement precision
If binarization and filtering operations are performed to separate signal sources from background noise, then positioning accuracy improves, but computational complexity increases
Solution Approach 1:
The patent segments the computational process into simple, sequential operations: binarization (comparing pixel values to a threshold), connected domain analysis (grouping adjacent signal pixels), and stripe pattern recognition (analyzing geometric features). This segmentation transforms a potentially complex image processing task into a series of simple, efficient operations that achieve high positioning accuracy without requiring computationally intensive algorithms.
Solution Approach 2:
The binarization operation uses the inherent intensity difference between signal pixels and background pixels to automatically separate them, without requiring complex segmentation parameters or iterative optimization. The connected domain analysis similarly uses the spatial adjacency property of signal pixels to group them naturally. These self-service operations achieve accurate separation with minimal computational overhead.
Data Source
AI summary
Embodiments of the disclosure provide an image processing apparatus and an image processing method for positioning and identifying signals sources. The image processing apparatus includes an imaging device to capture an image containing a set of pixels, wherein the set of pixels comprises a first subset of pixels representing a plurality of stripes associated with the multiple signal sources; a memory to store the image; a positioning device to determine positions of the multiple signal sources according to the stripes; and an identity determining device to determine identities of the multiple signal sources.