探索计算机视觉的最新趋势

A. Indhurani, A. Manimegalai, I. Arunpandiyan, M. Ramachandran, C. Sathiyaraj
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引用次数: 3

摘要

人工智能(AI)是数字图像的一个领域,从视频和其他视觉输入中恢复有意义的信息有助于计算机和系统-并根据该信息采取行动或提出建议。动物生态学的主要目的是观察自然界中的生物。数据收集的成本和挑战往往限制了生态学研究的范围。临床图像分析涉及临床图像的形成、分类和诊断。计算机视觉综合症(CVS)是一组与长时间在计算机显示器前工作相关的症状。诊断特征的答案可以显示为叶片图像的热图,诊断特征的答案可以显示为叶片图像的热图,在计算机视觉的帮助下系统而苍白,为植物学研究提供了大量的新的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Recent Trends in Computer Vision
Computer vision is Artificial Intelligence (AI) is a field of digital imagery, recovering meaningful information from videos and other visual inputs helps computers and systems - and take action or make recommendations based on that information. The main purpose of animal ecology is to observe living things in the natural world. The cost and challenge of data collection often restricts the scope of ecological research. Clinical image analysis involves the development, classification and diagnosis of a clinical picture. Computer Vision Syndrome (CVS) is a set of symptoms associated with prolonged work on a computer display. The answers to the diagnostic features can be displayed as thermo grams in leaf pictures, the answers to the diagnostic features can be displayed as thermo grams in leaf pictures, systematic and pale with the help of computer vision plenty for botanical studies the leaves are ready to make new contributions.
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