Presents recent significant and rapid development in the field of 2D and 3D image analysis
2D and 3D Image Analysis by Moments, is a unique compendium of moment-based image …

Herein, a parallel implementation in OpenMP of the Image Block Representation (IBR) for
binary imagesis investigated. The IBR is a region-based image representation scheme that …

The moments constitute a well-known tool for image analysis and recognition tasks. The
family of moments that has the most advantages is the discrete orthogonal moments. A set of …

We present an overview of the most important methods that decompose an arbitrary binary
object into a union of rectangles. We describe a run-length encoding and its generalization …

摘要矩是描述图像特征的一个重要算子, 矩计算的效率与图像表示方法直接相关.
非对称逆布局的模式表示模型(Non symmetryandAnti packingpatternrepresentationModel …

The identification of objects in binary images is a fundamental task in image analysis and
pattern recognition tasks. The Euler number of a binary image is an important topological …

In the field of image analysis, the discrete orthogonal moments have better image
representation capability than the continuous orthogonal moments and geometric moments …

Herein, a parallel implementation of Discrete Orthogonal moments on block represented
images is investigated. Moments and moment functions have been used widely as features …

A new method of moment computation based on decomposition of the object into
rectangular blocks is presented. The decomposition is accomplished by means of distance …

首先提出图像粒的概念, 然后将所提出的概念应用于QaR 树进行图像分解, 最后对基于QaR
树分解的结果和其他算法进行评估和对比. 实验结果表明, 在冗余度和精度两个指标上, 基于QaR …