Flexible Histograms: A Multiresolution Texture Discrimination Model

نویسنده

  • Jeremy S. De Bonet
چکیده

Motivation: The notion of texture is difficult to capture formally. Textures are usually the output of some random physical process wherein local structure is repeated seemingly at random and there is a lack of global structure. So, while the fur of a leopard is considered to be a texture, the entire leopard is not. This distinction is unavoidably arbitrary. We present an approach to texture recognition that is successful at modeling random repeating textures such as fur or bark and which naturally and automatically extends to structural patterns of many scales.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Flexible Histograms: A Multiresolution Target Discrimination Model

In previous work we have developed a methodology for texture recognition and synthesis that estimates and exploits the dependencies across scale that occur within images.1,2 In this paper we discuss the application of this technique to synthetic aperture radar (SAR) vehicle classification. Our approachmeasures characteristic cross-scale dependencies in training imagery; targets are recognized w...

متن کامل

Multiresolution Histograms and their Use for Texture Classification

The histogram of image intensities is used extensively for the retrieval of images from visual databases. An obvious way to extend this feature is to compute the histograms of multiple resolutions of an image. Both this extension and the plain histogram are fast to compute, space efficient, invariant to rigid motions, and robust to noise. In addition, the histograms over multiple image resoluti...

متن کامل

A spectral histogram model for texton modeling and texture discrimination

We suggest a spectral histogram, defined as the marginal distribution of filter responses, as a quantitative definition for a texton pattern. By matching spectral histograms, an arbitrary image can be transformed to an image with similar textons to the observed. We use the chi(2)-statistic to measure the difference between two spectral histograms, which leads to a texture discrimination model. ...

متن کامل

A Spectral Histogram Model for Textons and Texture Discrimination

Based on a local spatial/frequency representation, the spectral histogram of an image is defined as the marginal distribution of responses from a bank of filters. We propose the spectral histogram as a quantitative definition for textons. The spectral histogram model avoids rectification and spatial pooling, two commonly assumed stages in texture discrimination models. By matching spectral hist...

متن کامل

Multiresolution MRF-based texture segmentation using the Wreath Product Transform phase

In this paper, we bring local phase and multiresolution analysis to the texture segmentation problem. A Markov random eld characterization is still employed, except it is used to model phase correlations rather than intensity correlations. Since statistical characteristics of phase are typically quite diierent to those of intensity, there exists the potential for creating greater discrimination...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1997