6 citations · 9 across the 5 of their papers we have counts for
6 papers
Universal Segmentation of 33 Anatomies
Pengbo Liu, Yang Deng, Ce Wang +12
In the paper, we present an approach for learning a single model that universally segments 33 anatomical structures, including vertebrae, pelvic bones, and abdominal organs. Our mo…
Dual affine moment invariants
You Hao, Hanlin Mo, Qi Li +2
Affine transformation is one of the most common transformations in nature, which is an important issue in the field of computer vision and shape analysis. And affine transformation…
Differential and integral invariants under Mobius transformation
He Zhang, Hanlin Mo, You Hao +2
One of the most challenging problems in the domain of 2-D image or 3-D shape is to handle the non-rigid deformation. From the perspective of transformation groups, the conformal tr…
A Kind of Affine Weighted Moment Invariants
Hanlin Mo, You Hao, Shirui Li +1
A new kind of geometric invariants is proposed in this paper, which is called affine weighted moment invariant (AWMI). By combination of local affine differential invariants and a…
Shape-Color Differential Moment Invariants under Affine Transformations
Hanlin Mo, Shirui Li, You Hao +1
We propose the general construction formula of shape-color primitives by using partial differentials of each color channel in this paper. By using all kinds of shape-color primitiv…
Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classiffication
You Hao, Shirui Li, Hanlin Mo +1
We present a novel Affine-Gradient based Local Binary Pattern (AGLBP) descriptor for texture classification. It is very hard to describe complicated texture using single type infor…