基于支持向量机的CBIR、遗传算法、神经网络、模糊逻辑、神经模糊技术综述

R. Vani, Tithi Vyas, Nikunj Tahilramani
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引用次数: 2

摘要

基于内容的图像恢复(CBIR)称为基于图像内容的可视化数据恢复查询。CBIR是利用PC视觉对图像进行恢复,以便从庞大的图像数据库中找到特定的图像。本文讨论了支持向量机、遗传算法、神经网络、模糊逻辑和神经模糊等不同的CBIR技术。这些技术广泛用于检索与输入图像具有相似纹理、形状和颜色特征的图像。本文还试图对本文所提到的技术进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CBIR Using SVM, Genetic algorithm, Neural Network, Fuzzy Logic, Neuro-fuzzy Technique:A Survey
Content based image recovery [CBIR] is known as Query by image content based visual data recovery. CBIR is the use of PC vision used to recovering the image for finding a particular image from expansive database of image. The paper discusses about the different techniques of CBIR like SVM, genetic algorithm, neural networks, fuzzy logic and neuro-fuzzy. These techniques are extensively used for retrieval of images which have similar texture, shape and color features to the input image. The paper also attempts on comparing the techniques mentioned in this paper.
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