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A Review of Image Segmentation using Clustering Methods

机译:使用聚类方法对图像分割的综述

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Division is an expansive term, covering a wide assortment of issues and of strategies. We have gathered a delegate set of thoughts in this paper. These strategies manage various types of informational collection: some are expected for pictures, some are proposed for video successions and some are planned to be connected to tokens put holders that demonstrate the nearness of a fascinating example, say a spot or a speck or an edge point. While externally these strategies may appear to be very changed, there is a solid likeness among them. Every strategy endeavours to get a minimized portrayal of its informational index utilizing some type of model of similitude. One regular perspective of division is that we are endeavouring to figure out which parts of an informational collection normally "has a place together". This paper surveys the picture division strategies in view of grouping. From the surveys unmistakably grouping assumes an imperative part in picture division.
机译:师是一种广泛的术语,涵盖各种各样的问题和战略。 我们在本文中收集了一系列议员。 这些策略管理各种类型的信息收集:有些人预期图片,有些是为了视频演替,有些计划连接到令牌的支架,展示迷人示例的近似性,说出一个斑点或斑点或边缘 观点。 虽然外部这些策略可能看起来非常改变,但它们之间存在牢固的相似之处。 每个策略都努力利用某种类型的类似模型来获得对其信息指数的最小化写照。 划分的一个定期视角是我们正在努力弄清楚信息收集的哪些部分通常“有一个地方在一起”。 本文根据分组调查图片司策略。 从调查中,禁止分组假定图片划分的必要条件。

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