Research on advanced image analysis and it’s applications

Devshree Bharatia, Piyush Rane
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引用次数: 1

Abstract

An image is an artefact that depicts visual perception and helps to capture a moment in life. With the advancements in computer vision and machine learning, it is now possible to analyse the content of the images and use it for various applications. Using advanced machine learning models of convolutional neural networks it is possible to detect objects or faces within images. Further, Optical Character Recognition can be used for the text extraction and analysis. As a whole, these techniques would contribute in classification of various images based on their content. This powerful analysis and classification of images can be used in various domains to make the life of each individual easier and much smarter.
高级图像分析及其应用研究
图像是一种描绘视觉感知的人工制品,有助于捕捉生活中的某个时刻。随着计算机视觉和机器学习的进步,现在可以分析图像的内容并将其用于各种应用。使用卷积神经网络的先进机器学习模型,可以检测图像中的物体或人脸。此外,光学字符识别可以用于文本提取和分析。总的来说,这些技术将有助于根据其内容对各种图像进行分类。这种强大的图像分析和分类可用于各种领域,使每个人的生活更轻松,更智能。
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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