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Research on Clustering Based on Partition and Its Application to Image Segmentation

Author: WangYu
Tutor: LiKai
School: Hebei University
Course: Applied Computer Technology
Keywords: Clustering Generalized Entropy Divide Image Segmentation
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 26
Quote: 0
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Abstract


Clustering is physical or abstract collections of objects group become the similar object composed of several kind of process. At present, the literature, there are a lot of clustering algorithm, mainly divided into division clustering method, the hierarchical clustering method, the grid clustering method, density clustering method and model clustering method. The division clustering is the most commonly used methods. In this paper, based on the division of clustering methods and their application in image segmentation, and the main contents include the following three aspects: 1. The analysis research entropy clustering algorithm, and gives the entropy clustering algorithm based on entropy and a unified model of fuzzy clustering algorithm; By introducing the nuclear technology, is provided based on the entropy of the nuclear fuzzy clustering algorithm. 2. According to the image segmentation problem, combined with the characteristics of the image, is given based on entropy image segmentation method based on entropy and nuclear fuzzy clustering method of image segmentation. 3. According to the image segmentation problem in the situation of large amount of data, combined with the data compression technology, based on the C mean clustering image segmentation.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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