Infrared Spot Center Position Extraction via Connected Component Analysis
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Solution Overview
Problem
Current infrared spot tracking systems in industrial robots and VR applications face challenges in accurately calculating the center position of infrared spots, which affects the precision and stability of position tracking, especially due to noise and interference, and increasing resolution through higher-cost video cameras is a direct but costly method to improve measurement precision.
Innovation Solution
A method and electronic device that acquire, denoise, binarize, and calculate the center position of infrared spots by extracting connected components from images, using techniques like Gaussian filtering and non-local methods for denoising, and calculating the centroid based on weighted pixel intensities to achieve subpixel-level accuracy without the need for high-resolution cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a video camera system with higher resolution is used to improve measurement precision, then the center position calculation accuracy is improved, but the cost increases
Solution Approach 1:
The patent changes parameters of the infrared spot (intensity, area, shape) through image processing operations like denoising, binarization, and connected component analysis to achieve subpixel-level center position accuracy without requiring higher camera resolution, thus avoiding increased cost
Solution Approach 2:
The patent creates a simplified binary representation (copy) of the infrared spot image that preserves the essential information needed for center position calculation while removing noise and irrelevant details, achieving accurate measurement without needing the original high-resolution image
2Reliability
If image processing operations are performed on noisy infrared images, then the center position calculation is affected by noise and interference, but skipping processing preserves image quality
Solution Approach 1:
The patent converts the harmful effect of noise into a beneficial filtering process by using denoising algorithms that remove noise while preserving the infrared spot characteristics, and by using binarization that transforms noisy grayscale values into clean binary representations that enhance tracking stability
Solution Approach 2:
The patent extracts the essential connected component of the infrared spot from the noisy image background, separating the useful signal (infrared spot) from harmful noise and interference, thereby achieving reliable center position calculation
Data Source
AI summary
A method for extracting a center position of an infrared spot is disclosed. The method includes: acquiring, by an electronic device, an image, wherein the image includes an infrared spot; denoising, by the electronic device, the image; binarizing, by the electronic device, the denoised image; extracting, by the electronic device, a connected component of the infrared spot in the binarized image, wherein the connected component includes a plurality of pixel intensities and pixel positions of the infrared spot; and calculating, by the electronic device, the center position of the infrared spot based on the extracted connected component.