相关实验视频

Updated: Jul 16, 2025

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells
06:03

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

Published on: June 23, 2023

497

地方提炼机制,以改善杂乱的背景中的植物叶片细分

Ruihan Ma1,2, Alvaro Fuentes1,2, Sook Yoon3

  • 1Department of Electronics Engineering, Jeonbuk National University, Jeonbuk, Republic of Korea.

Frontiers in plant science
|September 15, 2023
PubMed
概括

本研究介绍了一种深度学习方法,用于在具有挑战性的野外条件下准确地对植物叶片进行细分. 该方法增强了图像处理,用于更好的表型和智能农业应用.

关键词:
杂乱的背景杂乱的背景深度学习是一种深度学习.过过器可以过.页面实例细分 页面实例细分植物表型化 植物表型化

更多相关视频

Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging06:11

Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging

Published on: September 22, 2023

3.0K
LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement08:14

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement

Published on: January 21, 2013

28.5K

相关概念视频

Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.5K