CPC G06T 7/62 (2017.01) [G06T 5/20 (2013.01); G06T 5/70 (2024.01); G06V 10/28 (2022.01); G06V 10/764 (2022.01); H04N 1/40012 (2013.01); H04N 23/69 (2023.01); G06T 2207/30242 (2013.01); G06V 2201/07 (2022.01)] | 5 Claims |
1. A method for detecting fog particles and calculating fog characteristics based on camera images, comprising:
a fog image collecting step of adjusting a magnification of a camera and an optical lens to a magnification capable of photographing fog, photographing fog, and storing a photographed image;
an image conversion step of converting the photographed image into a single color image of a gray scale having the brightness of 0 to 255 and calculating the frequency by each brightness in the gray scale image;
an image binarization step is a step of classifying and storing pixels based on a threshold to distinguish the fog droplets from the background in the image;
an image pixel filtering and masking step is a step of specifying fog droplets by removing noise in the image which may occur in the binarization step and masking the pixels within the optimum radius based on a specific pixel;
a fog droplet detecting step of detecting fog droplets using masked pixels;
a step of calculating the size and the number of fog droplets of calculating the radius of the detected fog droplets and the number of fog droplets by each fog droplet size; and
a step of calculating fog characteristics and generating an image is a step of calculating fog characteristics including a mean radius, an effective radius, a number concentration, an extinction coefficient, visibility by fog, and the like by using the calculated size and number of fog droplets, and generating fog characteristics into time series images whenever fog droplets are observed.
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