数字图像分析中混合与非混合方法的性能分析

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI:10.1109/CCAA.2017.8229948

Mohammad Shahnawaz, R. Dwivedi

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引用次数: 0

摘要

本文讨论了性能分析的一般研究，如熵、相关性、执行时间、直方图等。在本研究的基础上，将提出一个数字图像分析模型，该模型也使用混合和非混合方法，如模糊c均值(FCM)，可能性c均值(PCM)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance analysis of hybrid & non-hybrid approaches in digital image analysis

In this paper general study on performance analysis like Entropy, Correlation, Execution time, Histograme etc are discussed. On the basis of this study a model on digital image analysis will propose which is also using hybrid & non-hybrid approaches like Fuzzy c-means (FCM), Possibilistic c-means (PCM).

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2017 International Conference on Computing, Communication and Automation (ICCCA)

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