TY - JOUR
T1 - The rain noise reduction using guided filter to improve performance of vehicle counting
AU - Setiyono, Budi
AU - Sulistyaningrum, Dwi Ratna
AU - Usadha, IGN G.N.R.
AU - Nusantara, Aditya Pratama
N1 - Publisher Copyright:
© INRA and Springer-Verlag France.
PY - 2020/8
Y1 - 2020/8
N2 - The calculation of the number of vehicles on the road using digital image processing technology is expected to be faster and more accurate. Nevertheless, there are obstacles such as noise that arises due to rain because it can reduce the accuracy of the calculation of the number of vehicles. Therefore, we need a rain noise reduction process to improve the accuracy of vehicle calculations. The guided filter has the advantage of reducing noise, including snow noise and fog noise. The experiment was conducted by comparing the accuracy of the calculation of the number of vehicles in noise conditions after and before they were reduced with heavy rain, moderate rain, and drizzle data. The results show that accuracy is increasing for heavy and moderate rainfall data, while the drizzle data has decreased. Therefore, the guided filter is suitable for heavy and moderate rain conditions.
AB - The calculation of the number of vehicles on the road using digital image processing technology is expected to be faster and more accurate. Nevertheless, there are obstacles such as noise that arises due to rain because it can reduce the accuracy of the calculation of the number of vehicles. Therefore, we need a rain noise reduction process to improve the accuracy of vehicle calculations. The guided filter has the advantage of reducing noise, including snow noise and fog noise. The experiment was conducted by comparing the accuracy of the calculation of the number of vehicles in noise conditions after and before they were reduced with heavy rain, moderate rain, and drizzle data. The results show that accuracy is increasing for heavy and moderate rainfall data, while the drizzle data has decreased. Therefore, the guided filter is suitable for heavy and moderate rain conditions.
KW - Guided filter
KW - Noise reduction
KW - Rainfall
KW - Vehicle counting
UR - http://www.scopus.com/inward/record.url?scp=85087109669&partnerID=8YFLogxK
U2 - 10.24507/ijicic.16.04.1353
DO - 10.24507/ijicic.16.04.1353
M3 - Article
AN - SCOPUS:85087109669
SN - 1349-4198
VL - 16
SP - 1353
EP - 1370
JO - International Journal of Innovative Computing, Information and Control
JF - International Journal of Innovative Computing, Information and Control
IS - 4
ER -