Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Chuanjiang, He"'
Publikováno v:
Signal Processing. 155:193-201
In this paper, we propose a variational model in binary level set framework for segmenting two-phase images with impulse noise. In this model, the contour is implicitly represented by the discontinuity of a binary level set function instead of the ze
Publikováno v:
Digital Signal Processing. 78:42-55
The segmentation of images with severe noise has always been a very challenging task because noise has great influence on the accuracy of segmentation. This paper proposes a robust variational level set model for image segmentation, involving the ker
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
Autor:
Yongfei Wu, Chuanjiang He
Publikováno v:
Neurocomputing. 171:194-208
In this paper, we propose a variational level set model with indirect regularization term for image segmentation. Instead of using direct regularization on level set function, we introduce an auxiliary function to regularize indirectly the level set
Autor:
Yongfei Wu, Chuanjiang He
Publikováno v:
Signal Processing. 106:123-133
In this paper, we propose a strictly convex energy functional in a level set formulation for the purpose of two-phase image segmentation. We prove that the value of the unique global minimizer for the energy functional is within the interval -1, 1 fo
Autor:
Wei Wang, Chuanjiang He
Publikováno v:
SIAM Journal on Imaging Sciences. 8:1955-1980
This paper proposes a variational model with barriers for Retinex, borrowing the ideas of barrier methods. We first present an energy functional and then deduce a new energy functional from it by adding two barriers. The proposed model is defined as
Autor:
Chuanjiang He, Yan Wang
Publikováno v:
Applied Mathematics and Computation. 219:11420-11429
Level set evolution without re-initialization is a novel variational level set method for edge contour extraction, which has many advantages over the traditional level set formulations. The resulting evolution equation is derived from the minimizatio
Autor:
Liming Tang, Chuanjiang He
Publikováno v:
Journal of Mathematical Imaging and Vision. 45:148-163
In this paper, we first present a hierarchical (BV,G p ,L 2) variational decomposition model and then use it to achieve multiscale texture extraction which offers a hierarchical, separated representation of image texture in different scales. The star
Autor:
Chuanjiang He, Ye Yuan
Publikováno v:
Nonlinear Analysis: Real World Applications. 13:959-966
Variational level set methods for image segmentation involve minimizing an energy functional over a space of level set functions using a continuous gradient descent method. The functional includes the internal energy (curve length, usually) for regul
Publikováno v:
Journal of Electronic Imaging. 20:023004
We propose a novel variational formulation (external energy) for implicit active contours that forces the level-set function to have the opposite sign along the edges at convergence. This external energy is then incorporated into a variational level-