Improving LBP and its variants using anisotropic diffusion
نویسندگان
چکیده
São Carlos Institute of Physics, University of São Paulo, São Carlos SP, PO Box 369, 13560-970, Brazil. Scientific Computing Group http://scg.ifsc.usp.br Department of Mathematics, University of California Irvine, 340 Rowland Hall, Irvine, CA 92697, USA Institute of Mathematics and Computer Science, University of São Paulo, USP, Avenida Trabalhador são-carlense, 400, 13566-590, São Carlos, SP, Brazil
منابع مشابه
Image Denoising Using Anisotropic Diffusion Equations on Reflection and illumination Components of Image
This paper proposes a new hybrid method based on Homomorphic filtering and anisotropicdiffusion equations for image denoising. In this method, the Homomorphic filtering extracts the reflectionand illumination components of a noisy image. Then a suitable image denoising method based onanisotropic diffusion is applied to each components with its special user-defined parameters .This hybridscheme ...
متن کاملA Numerical Method for Preserving Curve Edges in Nonlinear Anisotropic Smoothing
We focus on nonlinearity for images and propose a new method which can preserve curve edges in image smoothing using nonlinear anisotropic diffusion NAD . Unlike existing methods which diffuse only among the spatial variants, the new method suggests that the diffusion should be performed both among the time variants and spatial variants, named time and space nonlinear anisotropic diffusion TSNA...
متن کاملA Novel Noise-Robust Texture Classification Method Using Joint Multiscale LBP
In this paper we describe a novel noise-robust texture classification method using joint multiscale local binary pattern. The first step in texture classification is to describe the texture by extracting different features. So far, several methods have been developed for this topic, one of the most popular ones is Local Binary Pattern (LBP) method and its variants such as Completed Local Binary...
متن کاملPerformance Analysis of Local Binary Pattern Variants in Texture Classification
-Texture classification is a major issue in image analysis and pattern recognition. A number of methods are proposed in the literature including Local Binary Pattern (LBP). The LBP variant (s) plays an active role to extract texture features for texture classification. These are rotation invariant, noise sensitive or noise insensitive mehods. Each method has its own advantages and disadvantages...
متن کاملA Basic Study on Improving Ultrasound Images
1. B.Yoo and T. Nishimura , “A Study of Ultrasound Image Enhancement Using Adaptive Speckle Reducing Anisotropic Diffusion,” presented at IEEE International Symposium on Industrial Electronics ,pp.: 581-585,2009. 2. Y. Yu and S.T. Acton, “Speckle reducing anisotropic diffusion, ”IEEE Trans. Image Process., vol. 11, no.11,pp. 1260-1270,Nov. 2002. 3. S. T.Acton, “Deconvolutional Speckle Reducing ...
متن کاملذخیره 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 ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1703.04418 شماره
صفحات -
تاریخ انتشار 2017