36 citations · 64 across the 9 of their papers we have counts for
6 papers · 1 filter
DyGLNet: Hybrid Global-Local Feature Fusion with Dynamic Upsampling for Medical Image Segmentation
Yican Zhao, Ce Wang, You Hao +2
Medical image segmentation grapples with challenges including multi-scale lesion variability, ill-defined tissue boundaries, and computationally intensive processing demands. This…
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…
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…
Naturally Combined Shape-Color Moment Invariants under Affine Transformations
Ming Gong, You Hao, Hanlin Mo +1
We proposed a kind of naturally combined shape-color affine moment invariants (SCAMI), which consider both shape and color affine transformations simultaneously in one single syste…