Image annotating tools for agricultural purpose - A requirements study

Machine Graphics and Vision Pub Date : 2019-01-01 DOI:10.22630/mgv.2019.28.1.7

Marcin Bator, Maciej Pankiewicz

引用次数: 0

Abstract

Images of natural scenes, like those relevant for agriculture, are characterised with a variety of forms of objects of interest and similarities between objects that one might want to discriminate. This introduces uncertainty to the analysis of such images. Requirements for an image annotation tool to be used in pattern recognition design for agriculture were discussed. A selection of open source annotating tools were presented. Advices how to use the software to handle uncertainty and missing functionalities were described.

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农业用图像注释工具。需求研究

自然场景的图像，如与农业相关的图像，具有各种形式的感兴趣的物体和物体之间的相似性，人们可能想要区分。这给这类图像的分析带来了不确定性。讨论了用于农业模式识别设计的图像标注工具的要求。介绍了一些开源的注释工具。对如何使用该软件处理不确定性和功能缺失提出了建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Machine Graphics and Vision Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

0.40

自引率

0.00%

发文量

期刊介绍： Machine GRAPHICS & VISION (MGV) is a refereed international journal, published quarterly, providing a scientific exchange forum and an authoritative source of information in the field of, in general, pictorial information exchange between computers and their environment, including applications of visual and graphical computer systems. The journal concentrates on theoretical and computational models underlying computer generated, analysed, or otherwise processed imagery, in particular: - image processing - scene analysis, modeling, and understanding - machine vision - pattern matching and pattern recognition - image synthesis, including three-dimensional imaging and solid modeling