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invComplexos
- Obtain invariant complex moments expand linear combination os invariant regular moments
image-mmoment-function
- 本书主要讨论了图像的各类矩函数（几何矩、复数矩、Legendre矩、Zernike矩、小波矩等）的定义、性质和快速算法，以及它们的不变量函数。并就它在图像处理和识别，计算机视觉以及其它方面的应用作了必要的介绍。 -This book discusses the various types of image moment function (geometric moments, complex moments, Legendre moments, Zernike moments, wavel
20104102125258460
- In this paper we discuss the problem of recovering the vertices of a planar polygon from its measured complex moments.Because the given, measured moments can be noisy, the recovered vertices are only estimates of the true ones. The literature offers
zernike_chriswolf
- This code allows to calculate complex Zernike moments on a binary image and to reconstruct an image from its Zernike moments. The moments are calculated robustly which allows to use them even for the reconstruction with high order moments.
2002-A-first-step-toward-visual-servoing-using-im
- In this paper, we determine the analytical form of the interaction matrix related to any moments that can be computed from binary or segmented images. We then apply this theoretical result to image-based visual servoing by selecting six combi
extract_features2.tar
- 各种图像描述符算法,图像特征提取用的是SIFT特征检测子-computes steerable filters, SIFT descr iptor, moments, differential invariants, complex filters, shape context, spin images, PCA-SIFT.
A-New-RecognitionBlurred-Image
- 一个新的图像识别和解释系统模糊的图像,本文提出。一些重要的规则复杂的时刻提出了模糊的形象和校对。该系统是由区域分割、图像识别和图像解释过程。作为预处理的区域分割过程中,一个输入图像分为一些适当的地区使用基于attention-driven技术方法。 模糊推理神经网络是受雇于上述两幅图像识别和这个解释过程。下图表的模糊效果给出了。实验表明,提出的系统可以被成功地用于识别模糊化的图像。- A new image recognition and interpretation system for
moment
- This paper aims to present a survey of object recognition/classification methods based on image moments. We review various types of moments (geometric moments, complex moments)
zernike_chriswolf
- This code allows to calculate complex Zernike moments on a binary image and to reconstruct an image from its Zernike moments. The moments are calculated robustly which allows to use them even for the reconstruction with high order moments.