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Recent advances in deep learning techniques have made impressive progress in many areas of computer vision, including classification, detection, and segmentation. While all of these areas are relevant...
This workshop is dedicated to event-based vision sensors and algorithms. Event-based cameras are revolutionary vision sensors with three key advantages: a measurement rate that is almost 1 million tim...
2017 SPIE 自动视觉检查和机器视觉会议（2017 Conference on Automated Visual Inspection and Machine Vision）
2017 SPIE 自动视觉检查 机器视觉 会议
2017/4/25
Conference Sessions:1: Image Acquisition 2: Simulation 3: Multispectral inspection Posters--Thursday 4: Inspection, Monitoring and Detection .
Authors are invited to submit full-length high-quality papers in image processing and machine vision. Papers covering theory and/or application areas of computer vision are invited for submission. Sub...
基于机器视觉的非结构环境下黄瓜目标特征识别（Feature Acquisition of Cucumber Fruit in Unstructured Environment Using Machine Vision）
温室 黄瓜 信息处理
2009/9/11
提出了一种基于近红外光谱成像技术的温室黄瓜信息检测方法。根据黄瓜的光谱反射特性，选用特定波长的近红外光谱图像解决与背景颜色相近的果实信息表征；利用图像内作物灰度分布差异确定果实所在区域，区域内采用矩不变优化阈值分割和特殊形态学模板滤波，实现果实目标有效识别；结合黄瓜物理性状和纹理特征检测果实的可抓取部位，并引入形心主惯性轴思想确定果柄的切割点位置。实验结果表明果实的正确识别率为93.3%，抓取点、...