AINet: Association Implantation for Superpixel Segmentation [PDF]
Yaxiong Wang +4 more
openaire +2 more sources
Spherical Superpixel Segmentation with Context Identity and Contour Intensity
Superpixel segmentation is a popular preprocessing tool in the field of image processing. Nevertheless, conventional planar superpixel generation algorithms are inadequately suited for segmenting symmetrical spherical images due to the distinctive ...
Baolong Guo +5 more
core +1 more source
Image Anonymization by Superpixel Segmentation
We propose a method for anonymizing a given image by removing personally identifiable information with a superpixel segmentation technique. Especially, we would like to focus on human faces in an image, because face images bear important personal ...
張, 碩延 +10 more
core
Rapid Recognition of Field-Grown Wheat Spikes Based on a Superpixel Segmentation Algorithm Using Digital Images. [PDF]
Tan C +9 more
europepmc +1 more source
A Proposed Security System Using Object Proposals via Superpixel Segmentation
A simple security system is presented in this paper, which can be implemented through multiple surveillance cameras, to detect trespasses and breaches of security in a wide range of real-world applications, especially on properties without fencing.
Upadhyaya, Vikas
core
Superpixel-based Hyperspectral Unmixing with Regional Segmentation
Unsupervised unmixing analysis aims to extract the basic materials, also known as, endmembers, and their fractions (or abundances) from a hyperspectral image. In this work, a new unsupervised unmixing approach based on Low Dimensional representation with
Alkhatib, Mohammed Qassim
core
Research on Fine Water Body Extraction From SAR Images Based on Superpixel Segmentation
The water body extraction technology based on superpixel segmentation in SAR images faces challenges such as insufficient precision in extracting fine water boundaries under speckle noise and complex scattering conditions.
Fengcheng Guo +4 more
doaj +1 more source
Fuzzy Superpixel Segmentation with Anisotropic Total Variation Regularization [PDF]
This paper presents a superpixel segmentation algorithm that integrates anisotropic total variation regularization within a fuzzy clustering framework.
Ng, Tsz Ching +4 more
core +1 more source
MAS-Net: Multi-Attention Hybrid Network for Superpixel Segmentation
Superpixels, as essential mid-level image representations, have been widely used in computer vision due to their computational efficiency and redundant compression.
Yonghui Li +4 more
core +1 more source
Superpixel Segmentation Based Synthetic Classifications with Clear Boundary Information for a Legged Robot. [PDF]
Zhu Y, Luo K, Ma C, Liu Q, Jin B.
europepmc +1 more source

