A Background Removal Method Based on Color Channel Calculations
To enhance user experience by reducing the computational complexity of background removal methods in real-time image recognition,a lightweight background removal method based on channel calculations is proposed.The study revolves around the concept and related properties of channel calculations.By utilizing the relationship between the channels of a color image,the selection of target pixels can be achieved through simple arithmetic and relational calculations,avoiding the use of more complex computational forms such as spatial distance formulas and gradients.This effectively reduces computational complexity.Both theoretical and experimental results demonstrate that under application scenarios where the foreground main color is single,the proposed method can select target pixels with low computational complexity and efficiently achieve background removal.This can contribute to improving user experience in real-time intelligent applications related to image processing.
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