首页> 外文会议>2018 International Conference on Communication, Computing and Internet of Things >CBIR Using SVM, Genetic algorithm, Neural Network, Fuzzy Logic, Neuro-fuzzy Technique:A Survey
【24h】

CBIR Using SVM, Genetic algorithm, Neural Network, Fuzzy Logic, Neuro-fuzzy Technique:A Survey

机译:使用支持向量机的CBIR,遗传算法,神经网络,模糊逻辑,神经模糊技术:调查

获取原文
获取原文并翻译 | 示例

摘要

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.
机译:基于内容的图像恢复[CBIR]被称为基于图像内容的视觉数据恢复查询。 CBIR是PC视觉的一种用途,可用于恢复图像,以便从图像的扩展数据库中查找特定图像。本文讨论了CBIR的不同技术,例如SVM,遗传算法,神经网络,模糊逻辑和神经模糊。这些技术被广泛用于检索具有与输入图像相似的纹理,形状和颜色特征的图像。本文还尝试比较本文提到的技术。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号