Study on LWT De-noising of Apple Image
When computer vision is applied to apple quality detection and automatic grading, the images from the sensors always have mass of noises, and it may affect the flowing grading works accuracy. Image de-noising based on LWT(Lifting Wavelet Transform) is studied, the noise type of apple image is analyzed, the LWT de-noising combined with the bivariate shrinkage function (BSF) with local variance estimation is proposed, and the research on apple image is carried out. The results indicate that this method can reduce noises, and at the same time, can keep the details of the apple image.
LWT Image de-noising Bivariate shrinkage function Local variance estimation Apple sorting
Dong Haiying Wang Kejun
School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China, 730070
国际会议
第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)
重庆
英文
934-937
2009-08-01（万方平台首次上网日期，不代表论文的发表时间）