基于小波变换和图像融合的智能照明控制系统研究

传统的灯光照明控制系统中单一信道信息量少,准确性和可靠性低,以及不易理解和判读,针对这些问题,本文提出基于小波变换和图像融合的方法,采用动静检测加数字图像融合的照度控制方式,充分利用多源数据的互补性。经过小波变换的融合图像保留了每一个源图像的重要特征,提高了图像质量和清晰度,并将融合图像划分不同区域,提高了环境照场辨识的准确性和可靠性,最后通过与预设数据对比加以调整,从而实现环境现场的智能照度控制。

Study on the Intelligent Lighting Control System Based on Wavelet Transform and Image Fusion

In the traditional lighting control system, the single channel has less information, low accuracy and low reliability, and hard to understand and interpret issues. To solve these questions, the paper introduces the method based on wavelet transform and image fusion, it adopts the control mode that the movement detection plus digital image fusion, taking full advantage of the complementary nature of multi-source data. The fused image retains every important feature of a source image, improves image quality and data availability, and divides fused image into different regions, improving the accuracy and reliability of identifying the lighting environment. And finally it will be adjusted by contrasting the default data, thus achieving the intelligent lighting control of the lighting environment.