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A Study on Image Mining; Its Importance and Challenges

机译:图像挖掘研究; 其重要性和挑战

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Image mining is an interdisciplinary field that is based on specialties such as machine vision, image processing, image retrieval, data mining, machine learning, databases and artificial intelligence. Although many studies have been conducted in each of these areas, research on image mining and emerging issues is in its infancy. For instance, data mining techniques can not automatically extract useful information from the large amount of data set like images. In this paper, by presenting the unique features of image mining, we discussed about the general procedure of the analysis and the main techniques of image analysis. Finally we explored different image mining systems, and knowledge extraction from images to achieve progress and development in this area.
机译:图像挖掘是一种跨学科领域,该领域是基于机器视觉,图像处理,图像检索,数据挖掘,机器学习,数据库和人工智能等特色领域。 虽然每个领域进行了许多研究,但对图像采矿和新兴问题的研究是其初期的。 例如,数据挖掘技术不能从诸如图像的大量数据中自动提取有用的信息。 本文通过呈现图像挖掘的独特特征,我们讨论了分析的一般程序和图像分析的主要技术。 最后,我们探讨了不同的图像挖掘系统,以及图像提取从图像中实现了该领域的进步和发展。

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