基于人工智能- DCNN技术的数字图像分析研究综述

Ajay Rastogi, Ravendra Singh, Ranjana Sharma, Shanker Dutt Kalony
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引用次数: 2

摘要

使用人工智能(AI)进行图像分析是一种趋势。在图像格式中有很多数据。利用图像分析可以提取许多有用的信息。在这个很多人都拥有智能手机的时期,他们点击了很多图片。有时他们已经忘记了图像。但是当他们想要访问几天前点击过的图片时,他们必须手动搜索。手动搜索图像是一项非常繁琐的任务。其次,有不同类型的疾病诊断工具产生的医学图像。在这些图像中,检测疾病需要专业知识。很多时候专家也会犯错。但在人工智能中,这些问题可以得到纠正。利用人工智能的深度卷积神经网络(DCNN),使我们的图像分析世界成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Survey of Digital Image Analysis with Artificial Intelligence- DCNN Technique
Image analysis using the Artificial Intelligence (AI) is now in trend. There are a lot of data in the image format. Using image analysis many useful information can be extracted. In this period where many people are having smart phones, they are clicking a lot of images. Sometimes they have forgot about the images. But when they want to access the image they have clicked few days before, then they have to search them manually. Search image manually is a very tedious task. Second there are different types of disease diagnostic tools produce medical images. In these images detecting a disease is required expert knowledge. And many times experts also can do a mistake. But in the artificial intelligence these problem could be rectified. Using Deep-Convolutional Neural Network(DCNN) of AI, enables the world of image analysis for us.
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