No abstract

No abstract

With the rapid advancement of video and image processing technologies in Internet-of-Things (IoT), it is urgent to address the issues in real-time performance, clarity and reliability of image recognition technique for monitoring system in foggy weather. In this work, a fast defogging image recognition algorithm is proposed based on bilateral hybrid filtering. Firstly, the mathematical model based on bilateral hybrid filtering is established. The dark channel is used for filtering and denoising the defogging image. After that, a bilateral hybrid filtering method can effectively improving the transmittance and robustness of images in defogging image by using a combination of guided filtering and median filtering. On this basis, the proposed algorithm greatly decreases the computation complexity of defogging image recognition and reduces the image execution time. Experimental results show that, the defogging effect and speed are encouraging. The image recognition rate reaches 98.8% after defogging.

No abstract

No abstract