Based on wavelet transform image reconstruction to study raindrops spectrum image processing system
At present, rain spectrum of image characteristics collection mainly completed by artificial detection, there are some questions that are process multifarious, time-consuming, low efficiency and certain subjectivity. Based on machine vision and image processing technology, raindrops spectrum was operated by traditional image processing method and the morphological algorithm, combining the wavelet multiresolution reconstruction analysis algorithm to processing raindrops spectrum. The experiment results show that the method can successfully extracted raindrops spectrum characteristics, improve effectively the raindrops particles boundary curves is smooth, achieve the purpose of testing precise and intelligence rainfall, that were a great significance of rainfall measurements.
sampling area cascade complex transformation watershed algorithm particle statistics
Xiaofeng Yue Xueyan Dong
School of Mechatronic Engineering Changchun University of Technology Changchun, Jilin Province, Chin School of Mechatronic Engineering Changchun University of Technology Changchun, Jilin Province, Ch
国际会议
重庆
英文
365-368
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）