7 citations · 18 across the 10 of their papers we have counts for
10 papers
A Binary Characterization Method for Shape Convexity and Applications
Shousheng Luo, Jinfeng Chen, Yunhai Xiao +1
Convexity prior is one of the main cue for human vision and shape completion with important applications in image processing, computer vision. This paper focuses on characterizatio…
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation
Jun Liu, Xue-Cheng Tai, Shousheng Luo
Convex Shapes (CS) are common priors for optic disc and cup segmentation in eye fundus images. It is important to design proper techniques to represent convex shapes. So far, it is…
A level set representation method for N-dimensional convex shape and applications
Lingfeng li, Shousheng Luo, Xue-Cheng Tai +1
In this work, we present a new efficient method for convex shape representation, which is regardless of the dimension of the concerned objects, using level-set approaches. Convexit…
Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms
Shousheng Luo, Xue-Cheng Tai, Yang Wang
We present a novel and effective binary representation for convex shapes. We show the equivalence between the shape convexity and some properties of the associated indicator functi…
Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data
Shousheng Luo, Ruyue Meng, Suhua Wei +3
In this paper we consider 3D axis-symmetric (AS) object reconstruction from single cone-beam x-ray projection data. Traditional x-ray CT fails to capture fleeting state of material…
Convex hull algorithms based on some variational models
Lingfeng Li, Shousheng Luo, Xue-Cheng Tai +1
Seeking the convex hull of an object is a very fundamental problem arising from various tasks. In this work, we propose two variational convex hull models using level set represent…
Convex Shape Priors for Level Set Representation
Shousheng Luo, Xue-cheng Tai
For many applications, we need to use techniques to represent convex shapes and objects. In this work, we use level set method to represent shapes and find a necessary and sufficie…
Superiorized iteration based on proximal point method and its application to XCT image reconstruction
Shousheng Luo, Yanchun Zhang, Tie Zhou +1
In this paper, we investigate how to determine a better perturbation for superiorized iteration. We propose to seek the perturbation by proximal point method. In our method, the di…
Moment-based cosh-Hilbert Inversion and Its Applications in Single-photon Emission Computed Tomography
Shousheng Luo, Jiansheng Yang, Tie Zhou
The inversion of cosh-Hilbert transform (CHT) is one of the most crucial steps for single-photon emission computed tomography with uniform attenuation from truncated projection dat…
Superiorization of EM Algorithm and Its Application in Single-Photon Emission Computed Tomography(SPECT)
Shousheng Luo, Tie Zhou
In this paper, we presented an efficient algorithm to implement the regularization reconstruction of SPECT. Image reconstruction with priori assumptions is usually modeled as a con…