期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到2篇文章
< 1 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Adaptive preprocessing algorithms of corneal topography in polar coordinate system 认领 引用 被引量：1
1
作者 郭雁文 《Journal of Central South University》 SCIE EI CAS 2014年第12期4571-4576,共6页
New adaptive preprocessing algorithms based on the polar coordinate system were put forward to get high-precision corneal topography calculation results. Adaptive locating algorithms of concentric circle center were c... New adaptive preprocessing algorithms based on the polar coordinate system were put forward to get high-precision corneal topography calculation results. Adaptive locating algorithms of concentric circle center were created to accurately capture the circle center of original Placido-based image, expand the image into matrix centered around the circle center, and convert the matrix into the polar coordinate system with the circle center as pole. Adaptive image smoothing treatment was followed and the characteristics of useful circles were extracted via horizontal edge detection, based on useful circles presenting approximate horizontal lines while noise signals presenting vertical lines or different angles. Effective combination of different operators of morphology were designed to remedy data loss caused by noise disturbances, get complete image about circle edge detection to satisfy the requests of precise calculation on follow-up parameters. The experimental data show that the algorithms meet the requirements of practical detection with characteristics of less data loss, higher data accuracy and easier availability. 展开更多
关键词 corneal topography Placido disk polar coordinate self-adoption preprocessing algorithms
暂未订购 下载PDF
Back Propagation Neural Network model for analysis of hyperspectral images to predict apple firmness 认领 引用
2
作者 Shuiping Li Yueyue Chen +5 位作者 Xiaobo Zhang Junbo Wang Xuanxiang Gao Yunhong Jiang Zhaojun Ban Cunkun Chen 《Food Innovation and Advances》 2025年第1期1-9,共9页
The potential of employing hyperspectral imaging(HSl)in the near-infrared(NiR)range(386.82-1,004.50 nm)for predicting the firmness of'Fuji'apples cultivated in Aksu has been evaluated.The performance of seven ... The potential of employing hyperspectral imaging(HSl)in the near-infrared(NiR)range(386.82-1,004.50 nm)for predicting the firmness of'Fuji'apples cultivated in Aksu has been evaluated.The performance of seven preprocessing algorithms and two feature selection algorithms was evaluated.The coefficient of determination(R2)and root mean square error(RMsE)of Partial Least Squares(PLS)models are contrasted using various inputs.These results confirm that the Multiplicative Scatter Correction(MSC)preprocessing algorithm was the optimal choice(R2p=0.7925,RMSEP=0.6537),and the Competitive Adaptive Reweighted Sampling(CARS)feature selection algorithm demonstrated superior performance(R2p=0.8325,RMSEP=0.6257).Based on the aforementioned findings,PLS,Multiple Linear Regression(MLR),Heterogeneous Transfer Learning(HTL),and Back Propagation Neural Network(BPNN)models were constructed for cross-validation purposes.The experimental results indicate that the CARS-BPNN model exhibits the optimal prediction performance,with an R2pvalue of 0.9350 and an RMSEP value of 0.4654.The results of the research indicated that a deep learning method combined with hyperspectral imaging technology could be utilized to non-destructively detect the firmness of'Fuji'apples,which will be beneficial and potentially applicable for post-harvest fruit firmness monitoring.This research provides a reference point for the non-destructive detection of apple in the selection of preprocessing,feature selection algorithms,and predicting firmness model. 展开更多
关键词 predicting firmness feature selection algorithms Fujiapples root mean square hyperspectral imaging hsl preprocessing algorithms coefficient determination r hyperspectral imaging
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈