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首页> 外文期刊>IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics >Euler vector for search and retrieval of gray-tone images
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Euler vector for search and retrieval of gray-tone images

机译：欧拉向量，用于搜索和检索灰度图像

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摘要

A new combinatorial characterization of a gray-tone image called Euler Vector is proposed. The Euler number of a binary image is a well-known topological feature, which remains invariant under translation, rotation, scaling, and rubber-sheet transformation of the image. The Euler vector comprises a 4-tuple, where each element is an integer representing the Euler number of the partial binary image formed by the gray-code representation of the four most significant bit planes of the gray-tone image. Computation of Euler vector requires only integer and Boolean operations. The Euler vector is experimentally observed to be robust against noise and compression. For efficient image indexing, storage and retrieval from an image database using this vector, a bucket searching technique based on a simple modification of Kd-tree, is employed successfully. The Euler vector can also be used to perform an efficient four-dimensional range query. The set of retrieved images are finally ranked on the basis of Mahalanobis distance measure. Experiments are performed on the COIL database and results are reported. The retrieval success can be improved significantly by augmenting the Euler vector by a few additional simple shape features. Since Euler vector can be computed very fast, the proposed technique is likely to find many applications to content-based image retrieval.
机译：提出了一种称为欧拉向量的灰度图像的新组合特征。二值图像的欧拉数是众所周知的拓扑特征，在图像的平移，旋转，缩放和橡皮图变换下仍保持不变。欧拉向量包括一个4元组，其中每个元素都是一个整数，表示由灰阶图像的四个最高有效位平面的格雷码表示形成的部分二进制图像的欧拉数。欧拉向量的计算仅需要整数和布尔运算。实验上观察到Euler向量对于噪声和压缩具有鲁棒性。为了使用该向量从图像数据库进行有效的图像索引，存储和检索，成功采用了基于对Kd-tree的简单修改的​​存储桶搜索技术。欧拉矢量还可以用于执行有效的四维范围查询。最后，根据马氏距离测度对检索到的图像集进行排名。在COIL数据库上进行实验，并报告结果。通过将Euler向量增加一些其他简单形状特征，可以显着提高检索成功率。由于可以很快地计算出Euler向量，因此所提出的技术可能会在基于内容的图像检索中找到许多应用。

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