...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Information Sciences: An International Journal >IMAGE SEGMENTATION USING FUZZY HOMOGENEITY CRITERION
【24h】

IMAGE SEGMENTATION USING FUZZY HOMOGENEITY CRITERION

机译：基于模糊均匀性的图像分割

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The approach proposed here is using fuzzy homogeneity vectors and the fuzzy cooccurrence matrix to segment images. Homogeneity vectors could be used to represent the homogeneous feature between a pixel and its neighbors, and the degree of homogeneity could be determined by using a fuzzy membership function. Combining the homogeneity vectors and the fuzzy membership function, we could extract the feature of an image which determines the fuzzy region width. With the fuzzy region width, we could use the fuzzy cooccurrence matrix to measure the fuzzy geometry properties of an image, which is the fuzzy entropy values that can be employed for determining the thresholds to segment images. The advantages of this approach are as follows. First, homogeneity vectors take account of the spatial gray-tone dependence; thus, using homogeneity vectors has a better noise tolerance. Second, from the extracted feature, the fuzzy region width could be determined automatically. Third, because the fuzzy region width is decided by the feature of the image, it could be adjusted according to the nature of the image. Fourth, the dimension of the fuzzy cooccurrence matrix representing the image is significantly decreased, but the properties of images are faithfully preserved. A large number of experiments have been carried out on different kinds of images, and good results have been achieved by the proposed method. This method will have wide application in image processing. (C) Elsevier Science Inc. 1997. [References: 42]
机译：这里提出的方法是使用模糊同质矢量和模糊共生矩阵来分割图像。均质矢量可用于表示像素与其相邻像素之间的均质特征，均质程度可通过使用模糊隶属度函数确定。结合均匀性矢量和模糊隶属度函数，我们可以提取确定模糊区域宽度的图像特征。在模糊区域宽度的情况下，我们可以使用模糊共生矩阵来测量图像的模糊几何属性，该模糊几何属性是可以用来确定分割图像阈值的模糊熵值。这种方法的优点如下。首先，同质矢量考虑了空间灰度的相关性。因此，使用同质矢量具有更好的噪声容限。其次，从提取的特征中，可以自动确定模糊区域的宽度。第三，由于模糊区域的宽度取决于图像的特征，因此可以根据图像的性质对其进行调整。第四，代表图像的模糊共现矩阵的维数显着减小，但是图像的属性得到了忠实的保留。在不同种类的图像上进行了大量的实验，通过所提出的方法取得了良好的效果。该方法将在图像处理中具有广泛的应用。 （C）Elsevier Science Inc.1997。[参考：42]

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