Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Chuanjiang, He"'
Autor:
Zhongjie Du, Chuanjiang He
Publikováno v:
Applied Mathematical Modelling. 99:243-259
Binarization has always been a very challenging task for degraded document images because of the variety and complexity of degradations. This paper proposed a nonlinear diffusion equation with selective source for restoration of degraded document ima
Publikováno v:
Applied Mathematical Modelling. 81:844-854
Binarization has always been a challenging problem in document image processing because of various types of degradation. In this paper, we present a nonlinear reaction–diffusion model for binarization of bleed-through document images, which is the
Publikováno v:
IEEE Transactions on Computational Imaging. 6:1548-1560
Recently, deep-learning based methods have been widely used for computed tomography (CT) reconstruction. However, most of these methods need extra steps to convert the sinogrmas into CT images and so their networks are not end-to-end. In this paper,
Publikováno v:
Applied Mathematics and Computation. 351:8-22
This paper proposes a nonlinear edge-preserving diffusion equation with an adaptive source term for binarization of degraded document images. The role of nonlinear diffusion term is to smooth images with preservation of text edges and corners, while
Publikováno v:
Neurocomputing. 281:106-120
It is well known that an image is the pixel-wise multiplication of two components (illumination and reflectance) that are described as intrinsic images. To enhance the visual quality of a degraded image with uneven illumination and low local contrast
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10:5485-5494
Robust and accurate segmentation of oil slick regions from synthetic aperture radar satellite images plays a fundamental role for detecting and monitoring of oil spills. However, uneven intensity, high noise, and blurry boundary, which always exist i
Publikováno v:
Multidimensional Systems and Signal Processing. 28:657-677
We propose an image segmentation model that is derived from reaction---diffusion equations and level set methods. In our model, a diffusion term is used for regularization of a level set function, and a reaction term has the desired sign property to
Autor:
Xiaozeng Xu, Chuanjiang He
Publikováno v:
Mathematical Problems in Engineering, Vol 2013 (2013)
We propose a new active contour model which integrates a local intensity fitting (LIF) energy with an auxiliary global intensity fitting (GIF) energy. The LIF energy is responsible for attracting the contour toward object boundaries and is dominant n
Publikováno v:
Mathematical Problems in Engineering. 2012:1-20
We propose anLp(|∇I|)-based adaptively active contours model for image segmentation which is derived from the well-known Chan-Vese (C-V) model. Unlike the C-V model, the proposed model uses theLp(|∇I|) (p(|∇I|)>2)norm instead of theL2norm to de
Publikováno v:
Journal of Electronic Imaging. 21:023006
Following the recently proposed total variation (TV) up-sampling method, we present a novel image up-sampling algorithm based on fractional-order bidirectional diffusion. For the bidirectional diffusion, the forward diffusion occurs on the light side