首页> 外文会议>2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare >Wavelet-based tolerance near set approach in classifying hand images: A review
【24h】

Wavelet-based tolerance near set approach in classifying hand images: A review

机译:基于小波的容差近集方法在手图像分类中的应用

获取原文
获取原文并翻译 | 示例

摘要

A wavelet-based tolerance Nearness Measure (tNM) makes possible to measure fine-grained changes in shapes in pairs of images. The image correspondence utilizes image matching tactics to establish closeness between two or more images. This is one of the central tasks in computer vision. The problem considered that how can we measure the nearness or apartness of digital images. In case when it is important to detect conversion in the contour, position, and approximal orientation of bounded regions. However, the solution of this problem is that results from an application of anisotropic (direction dependent) a tolerance and wavelets near set approach to detecting affinities in pairs of images. It has been shown that tolerance near sets can be used in a concept-based approach to discovering correspondences between images. In this paper we are showing detail survey on near set approach. By near set approach an effective means of images is nothing but grouping together that correspond to each other relative to diminutive similarities in the features of bounded regions in the images.
机译:基于小波的公差近距离测量(tNM)可以测量成对图像中形状的细粒度变化。图像对应利用图像匹配策略来建立两个或更多图像之间的紧密度。这是计算机视觉中的中心任务之一。问题在于我们如何测量数字图像的接近度或间隔度。如果重要的是要检测边界区域的轮廓,位置和近似方向的转换。但是,该问题的解决方案是由于各向异性(方向相关)的公差和小波近集方法的应用而导致的,该方法用于检测图像对中的亲和力。已经表明,可以在基于概念的方法中使用容差近集来发现图像之间的对应关系。在本文中,我们将展示有关近集方法的详细调查。通过近集方法,图像的有效手段不过是将相对于图像中边界区域特征的微小相似性彼此对应的分组在一起。

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