机译:使用自动亮度校正和加权RVM分类器进行缺陷苹果的计算机视觉检测
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China,Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China;
Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China;
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China;
Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China;
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China,Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China;
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China;
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China;
Computer vision; Defective apple detection; Lightness correction; Weighted RVM; Image processing;
机译:使用NIR编码结构光和快速亮度校正功能自动检测有缺陷的苹果
机译:用计算机视觉系统与深层学习方法相结合的缺陷苹果线检测
机译:基于计算机视觉的树干和分支识别和分支识别和苹果自动收割机的密集覆盖器振荡点检测
机译:通过热敏自动检测缺陷的太阳能模块
机译:使用计算机视觉自动遮篷绘图边界检测
机译:使用预训练的计算机视觉模型和人类凝视自动视觉注意力检测移动眼睛跟踪
机译:基于计算机视觉的自动芒果分级中尺寸指标和分类器的比较性能评估
机译:使用最近邻分类器的统计模式识别检测“单腿分离”心脏瓣膜。修订版1。