Singularity Extraction in Natural Images
نویسندگان
چکیده
منابع مشابه
Singularity Extraction in Multifractals: Applications in Image Processing∗
The multifractal formalism was introduced to describe the statistical and geometrical properties of chaotic, scale invariant systems such as turbulent flows, geophysical signals, time series and recently images from real world scenes. According to the multifractal formalism, natural images can be decomposed in different fractal sets, each one corresponding to a different singular behaviour. The...
متن کاملDimensionality Reduction of Hyperspectral Images by Combination of Non-parametric Weighted Feature Extraction (nwfe) and Modified Neighborhood Preserving Embedding (npe)
This paper combine two conventional feature extraction methods (NWFE&NPE) in a novel framework and present a new semisupervised feature extraction method called Adjusted Semi supervised Discriminant Analysis (ASEDA). The advantage of this method is dominating the Hughes phenomena, automatic selection of unlabelled pixels, extraction of more than L-1(L: number of classes) features and avoidance ...
متن کاملMarkov Models for Directional Field and Singularity Extraction in Fingerprint Images
A Bayesian formulation is proposed for reliable and robust extraction of the directional field in fingerprint images using a class of spatially smooth priors. The spatial smoothness allows for robust directional field estimation in the presence of moderate noise levels. Parametric template models are suggested as candidate singularity models for singularity detection. The parametric models enab...
متن کاملتحلیل ممیز غیرپارامتریک بهبودیافته برای دستهبندی تصاویر ابرطیفی با نمونه آموزشی محدود
Feature extraction performs an important role in improving hyperspectral image classification. Compared with parametric methods, nonparametric feature extraction methods have better performance when classes have no normal distribution. Besides, these methods can extract more features than what parametric feature extraction methods do. Nonparametric feature extraction methods use nonparametric s...
متن کاملAnalysis and Identification of Multidimensional Singularities using the Continuous Shearlet Transform
In this chapter, we illustrate the properties of the continuous shearlet transform with respect to its ability to describe the set of singularities of multidimensional functions and distributions. This is of particular interest since singularities and other irregular structures typically carry the most essential information in multidimensional phenomena. Consider, for example, the edges of natu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001