颗粒计算中的图像粒化研究

Ding Xiaona, L. Chunfeng, Liu Baoxiang
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引用次数: 0

摘要

颗粒计算是人工智能领域的一项关键技术,涵盖了与粒度相关的所有理论和方法,广泛应用于数据挖掘和知识发现。本文详细介绍了颗粒计算的本质、基本模型及其在图像处理中的应用。鉴于目前图像数据知识获取的困难,将图像处理方法分为图像分割、图像识别与分类等技术三部分。初步探讨了近年来颗粒计算模型对图像造粒的贡献。在了解图像颗粒化本质的基础上,给出了不同模型在不同图像处理问题中的关键技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Image Granulation in Granular Computing
Granular computing is a key technology in the field of artificial intelligence, covering all the theories and methods related to granularity, and is widely used in data mining and knowledge discovery. This paper introduces the essence of granular computing, the basic model and its application in image processing in detail. In view of the difficulty in acquiring current image data knowledge, the image processing methods are divided into three parts: image segmentation, image recognition and classification, and other technologies. The contribution of the granular computing model to image granulation in recent years is discussed preliminarily. On the basis of understanding the essence of image granulation, the key technologies of different models in different image processing problems are given.
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