Results 51 to 60 of about 2,106 (179)

Enhanced Atrous Extractor and Self-Dynamic Gate Network for Superpixel Segmentation

Applied Sciences, 2023
A superpixel is a group of pixels with similar low-level and mid-level properties, which can be seen as a basic unit in the pre-processing of remote sensing images. Therefore, superpixel segmentation can reduce the computation cost largely.
Bing Liu, Zhaohao Zhong, Tongye Hu, Hongwei Zhao   +3 more
doaj   +1 more source

Clinically Deployable Handwriting Biomarkers of Parkinson's Disease via Multiscale Attention and Bayesian–Genetic Optimization

Brain and Behavior, Volume 16, Issue 5, May 2026.
Tablet‐based handwriting tasks (spiral, meander, and wave) are transformed into unified images and analyzed using PD‐MGMA‐DSCNN, a lightweight multiscale gated attention network. Bayesian–genetic optimization improves performance, while SHAP attribution maps provide interpretable handwriting biomarkers for Parkinson's disease screening.
Khosro Rezaee, Ali Khalili Fakhrabadi
wiley   +1 more source

SUPERPIXEL SEGMENTATION FOR POLSAR IMAGES WITH LOCAL ITERATIVE CLUSTERING AND HETEROGENEOUS STATISTICAL MODEL [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Superpixel segmentation has an advantage that can well preserve the target shape and details. In this research, an adaptive polarimetric SLIC (Pol-ASLIC) superpixel segmentation method is proposed.
D. Xiang, W. Ni, H. Zhang, J. Wu, W. Yan, Y. Su   +5 more
doaj   +1 more source

Medial Features for Superpixel Segmentation. [PDF]

, 2009
Image segmentation plays an important role in computer vision and human scene perception. Image oversegmentation is a common technique to overcome the problem of managing the high number of pixels and the reasoning among them. Specifically, a local and coherent cluster that contains a statistically homogeneous region is denoted as a superpixel. In this
Engel, D., Spinello, L., Triebel, R., Siegwart, R., Bülthoff, H., Curio, C.   +5 more
openaire   +1 more source

COMPARATIVE ANALYSIS OF SUPERPIXEL SEGMENTATION METHODS

International Journal of Engineering Technologies and Management Research, 2020
Superpixel segmentation showed to be a useful preprocessing step in many computer vision applications. Superpixel’s purpose is to reduce the redundancy in the image and increase efficiency from the point of view of the next processing task. This led to a variety of algorithms to compute superpixel segmentations, each with individual strengths and ...
SumitKaur, Dr. R.K Bansal
openaire   +3 more sources

Pupil Plane Multiplexing for Vectorial Fourier Ptychography

Laser &Photonics Reviews, Volume 20, Issue 9, 6 May 2026.
This study proposes a cost‐effective, modality‐adaptive multichannel microscopy framework using pupil‐plane multiplexing. A custom pupil aperture at the Fourier plane encodes channel‐specific transfer functions with spectral or polarization filters, and model‐based reconstruction with channel‐dependent priors decodes them.
Hyesuk Chae, Kyungwon Lee, Yong Guk Kang, Hansol Yoon, Kyung Chul Lee, Seung Ah Lee   +5 more
wiley   +1 more source

Content-Sensitive Superpixel Generation with Boundary Adjustment

Applied Sciences, 2020
Superpixel segmentation has become a crucial tool in many image processing and computer vision applications. In this paper, a novel content-sensitive superpixel generation algorithm with boundary adjustment is proposed. First, the image local entropy was
Dong Zhang, Gang Xie, Jinchang Ren, Zhe Zhang, Wenliang Bao, Xinying Xu   +5 more
doaj   +1 more source

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

Small, Volume 22, Issue 26, 8 May 2026.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun, Rotimi‐Williams Bello, Pius Adewale Owolawi, Rytis Maskeliūnas, Abdulsatar Abduljabbar Sultan   +4 more
wiley   +1 more source

Superpixel Segmentation: An Evaluation

, 2015
In recent years, superpixel algorithms have become a standard tool in computer vision and many approaches have been proposed. However, different evaluation methodologies make direct comparison difficult. We address this shortcoming with a thorough and fair comparison of thirteen state-of-the-art superpixel algorithms.
openaire   +1 more source

Hybrid CNN–GCN framework for brain tumor MRI classification: A graph‐based approach to smart healthcare diagnostics

Journal of Applied Clinical Medical Physics, Volume 27, Issue 4, April 2026.
Abstract Background Accurate classification of brain tumors is a major challenge in neuro‐oncology, as the heterogeneity of tumor morphology and the overlap of radiological features limit the effectiveness of conventional diagnostic approaches. Early and reliable tumor characterization is essential for treatment planning, prognosis, and improved ...
Mus'ab S. Alkasasbeh, Khalid Hassan Ibnaouf, Naser M. Ahmed, Azhar Abdul Rahman, Dheyaa Nabeel Abbas, Arar Al Tawil, Hajo Idriss, Hamzeh Taha Alkasasbeh   +7 more
wiley   +1 more source