A New Algorithm of Eyed Typhoon Automatic Positioning Based on Single Infrared Satellite Cloud Image
- https://doi.org/10.2991/iccsee.2013.561How to use a DOI?
- the singles infrared cloud, the center of the eyed typhoon, automatic positioning, mathematical morphology
According to the characteristic that the gray value difference is quite obvious in different areas of the singles infrared cloud, this paper puts forward an algorithm of the eyed typhoon's center automatic positioning. After pretreating the cloud image, we use the template to segment the airtight cloud wall area which has high gray value. In addition, the difference between gray values of the airtight cloud wall area is small. Then we do binarization processing to the image and use the method combined with the mathematical morphology and artificial intelligence to process the image in filtering smoothly. We remove the isolated interference point. Then we corrode image and adopt the seed filling algorithm to detect the candidate eye area. In the candidate eye area, the paper puts forward the discriminant function which is based on the combination of the gray information and the distance between the inspection points and the circle's center. The candidate eye area corresponded to the minimum value of the discriminant function is the center of the eyed typhoon. The experiment result shows that this algorithm has higher positioning accuracy and it can be used for meteorological service.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Gang Yin AU - Yu Feng Chen PY - 2013/03 DA - 2013/03 TI - A New Algorithm of Eyed Typhoon Automatic Positioning Based on Single Infrared Satellite Cloud Image BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 2238 EP - 2242 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.561 DO - https://doi.org/10.2991/iccsee.2013.561 ID - Yin2013/03 ER -