bulk processing imagery

简明释义

1. 粗加工图像; 2. 粗加工像片;

英英释义

例句

1.The software is designed for bulk processing imagery, which allows users to edit multiple images at once.

该软件旨在进行批量处理图像，使用户能够一次编辑多张图像。

2.With bulk processing imagery, photographers can save hours of editing time after a long shoot.

通过批量处理图像，摄影师在长时间拍摄后可以节省数小时的编辑时间。

3.Using bulk processing imagery, we can apply filters to hundreds of photos in just a few clicks.

使用批量处理图像，我们可以在几次点击内对数百张照片应用滤镜。

4.The new application supports bulk processing imagery, making it easier for graphic designers to manage large files.

新应用程序支持批量处理图像，使平面设计师更容易管理大文件。

5.In our project, we utilized bulk processing imagery techniques to enhance the efficiency of image analysis.

在我们的项目中，我们利用批量处理图像技术来提高图像分析的效率。

作文

In the age of digital technology, the ability to process large amounts of data efficiently is crucial for various industries. One area where this has become particularly important is in the field of imaging. The term bulk processing imagery refers to the technique of handling a vast number of images simultaneously, allowing for quicker analysis and better resource management. This method is especially beneficial in sectors such as healthcare, security, and environmental monitoring, where large volumes of visual data are generated regularly.For instance, in healthcare, medical imaging technologies like MRI and CT scans produce thousands of images for a single patient. Utilizing bulk processing imagery enables radiologists to analyze these images more efficiently, helping them to diagnose conditions faster and more accurately. By automating the processing of these images, healthcare providers can save time and reduce the likelihood of human error, ultimately leading to improved patient outcomes.In the realm of security, surveillance cameras generate continuous streams of video footage. By employing bulk processing imagery, security personnel can quickly sift through hours of video to identify suspicious activities or potential threats. This capability not only enhances safety measures but also optimizes the use of human resources, allowing security teams to focus on critical tasks rather than being bogged down by manual reviews of footage.Environmental monitoring is another area where bulk processing imagery plays a significant role. Satellites and drones capture extensive images of landscapes, ecosystems, and urban areas. By utilizing advanced processing techniques, researchers can analyze changes in land use, track deforestation, or monitor wildlife populations over time. This large-scale image analysis supports conservation efforts and informs policy decisions aimed at protecting the environment.The technological advancements that enable bulk processing imagery include machine learning algorithms and artificial intelligence. These tools can automatically categorize, filter, and analyze images, significantly reducing the time required for manual processing. As these technologies continue to evolve, we can expect even greater efficiencies and capabilities in the way we handle visual data.However, the implementation of bulk processing imagery is not without its challenges. Issues related to data privacy, storage, and the need for robust computational power must be addressed to ensure that these systems function effectively and ethically. As organizations adopt these technologies, they must also develop policies and practices that safeguard sensitive information while still reaping the benefits of bulk processing.In conclusion, bulk processing imagery is a transformative approach that allows for the efficient handling of large volumes of visual data across various industries. Its applications in healthcare, security, and environmental monitoring demonstrate its value in improving efficiency, accuracy, and decision-making. As technology continues to advance, the potential for bulk processing imagery will only grow, paving the way for innovations that can enhance our understanding of the world around us.

在数字技术时代，有效处理大量数据的能力对于各行各业至关重要。在成像领域，这一点尤为重要。术语大批量处理图像指的是同时处理大量图像的技术，从而实现更快的分析和更好的资源管理。这种方法在医疗保健、安全和环境监测等领域尤其有益，因为这些领域定期生成大量的视觉数据。例如，在医疗保健中，医学成像技术如MRI和CT扫描为单个患者生成数千张图像。利用大批量处理图像使放射科医生能够更高效地分析这些图像，帮助他们更快、更准确地诊断疾病。通过自动化这些图像的处理，医疗提供者可以节省时间并减少人为错误的可能性，最终改善患者的治疗效果。在安全领域，监控摄像头持续生成视频数据流。通过采用大批量处理图像，安保人员可以迅速筛查数小时的视频，以识别可疑活动或潜在威胁。这种能力不仅增强了安全措施，还优化了人力资源的使用，使安保团队能够专注于关键任务，而不是被手动审查录像所困扰。环境监测是另一个大批量处理图像发挥重要作用的领域。卫星和无人机捕捉到广泛的景观、生态系统和城市区域的图像。通过利用先进的处理技术，研究人员可以分析土地利用的变化、追踪森林砍伐或监测野生动物种群的变化。这种大规模的图像分析支持保护工作，并为旨在保护环境的政策决策提供信息。使大批量处理图像成为可能的技术进步包括机器学习算法和人工智能。这些工具可以自动分类、过滤和分析图像，显著减少手动处理所需的时间。随着这些技术的不断发展，我们可以期待在处理视觉数据的方式上实现更大的效率和能力。然而，实施大批量处理图像并非没有挑战。与数据隐私、存储以及对强大计算能力的需求相关的问题必须得到解决，以确保这些系统有效且合乎道德地运作。随着组织采用这些技术，他们还必须制定政策和实践，以保护敏感信息，同时仍然能够获得大批量处理的好处。总之，大批量处理图像是一种变革性的方法，允许各行业高效处理大量视觉数据。它在医疗保健、安全和环境监测中的应用展示了其在提高效率、准确性和决策能力方面的价值。随着技术的不断进步，大批量处理图像的潜力只会增长，为增强我们对周围世界的理解铺平道路。