Results 81 to 90 of about 6,095 (211)

Boundary-preserving superpixel segmentation

Journal of Applied Science and Engineering
In recent years, superpixel segmentation has been widely used in image processing tasks as a preprocessing step. Superpixel segmentation aims to group pixels into homogeneous regions while maintaining edges.
Yuejia Lin, Zhao Li, Chenxun Yuan, Yi Liu   +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 images.

, 2018
Superpixel images.
Unseok Lee (5150504), Sungyul Chang (579208), Hyoungseok Kim (5150501), Gian Anantrio Putra (5150498), Dong Hwan Kim (586776)   +4 more
core   +1 more source

Image segmentation using superpixel ensembles [PDF]

, 2017
Recently there has been an increasing interest in image segmentation due to the needs of locating objects with high segmentation accuracy as required by many computer vision and image processing tasks.
Gu, Xianbin
core   +1 more source

AU-super: superpixel scale optimization and training data augmentation strategy for hyperspectral image classification

Frontiers in Remote Sensing
The spectral information of each pixel in hyperspectral images contains valuable information about object properties, although accurate labeling is required in supervised classification to guide the model in distinguishing different land cover types ...
Yiran Wang, Lingling Li, Mingming Xu, Shanwei Liu, Muhammad Yasir, Manuel Á. Aguilar, Fernando J. Aguilar   +6 more
doaj   +1 more source

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

Analisis Perbandingan Kinerja Metode Superpixel dan Gradien berbasis Edge Detector pada Pendeteksian Objek Bergerak

Jurnal Elkomika, 2020
ABSTRAK Salah satu bagian dalam algoritma pemrosesan citra adalah proses segmentasi yang menjadi tahap pra-pemrosesan untuk ekstraksi fitur objek. Superpixel menjadi salah satu solusi pada proses segmentasi dengan mendefenisikan kumpulan piksel yang ...
MUHAMMAD KHAERUL NAIM MURSALIM, IHSAN VERDIAN   +1 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

Geometry-based Superpixel Segmentation - Introduction of Planar Hypothesis for Superpixel Construction

Proceedings of the 10th International Conference on Computer Vision Theory and Applications, 2015
Superpixel segmentation is widely used in the preprocessing step of many applications. Most of existing methods are based on a photometric criterion combined to the position of the pixels. In the same way as the Simple Linear Iterative Clustering (SLIC) method, based on k-means segmentation, a new algorithm is introduced.
Marie-Anne Bauda, Sylvie Chambon, Pierre Gurdjos, Vincent Charvillat   +3 more
openaire   +3 more sources

Learning Superpixel Relations for Supervised Image Segmentation

, 2014
In this paper we propose to extend the well known graph cut segmentation framework by learning superpixel relations and use them to weight superpixel-to-superpixel edges in a superpixel graph.
Costantino Grana, Rita Cucchiara, CUCCHIARA, Rita, MANFREDI, MARCO, GRANA, Costantino, Marco Manfredi   +5 more
core   +1 more source