Results 61 to 70 of about 3,488 (207)

Optimal segmentation and improved abundance estimation for superpixel-based Hyperspectral Unmixing

European Journal of Remote Sensing, 2022
Superpixel-based hyperspectral unmixing (HU) can effectively reduce spectral variability’s influence on unmixing performance. In the superpixel-based HU method, this study proposes a segmentation scale determination method to improve the accuracy of ...
Qiang Guan, Tongyu Xu, Shuai Feng, Fenghua Yu, Kai Song   +4 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

Automatic Image Segmentation With Superpixels and Image-Level Labels

IEEE Access, 2019
Automatically and ideally segmenting the semantic region of each object in an image will greatly improve the precision and efficiency of subsequent image processing.
Xinlin Xie, Gang Xie, Xinying Xu, Lei Cui, Jinchang Ren   +4 more
doaj   +1 more source

A Survey on Superpixel Segmentation as a Preprocessing Step in Hyperspectral Image Analysis

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Recent developments in hyperspectral sensors have made it possible to acquire hyperspectral images (HSI) with higher spectral and spatial resolution. Hence, it is now possible to extract detailed information about relatively smaller structures.
Subhashree Subudhi, Ram Narayan Patro, Pradyut Kumar Biswal, Fabio Dell'Acqua   +3 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

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

A Two-Stage Gradient Ascent-Based Superpixel Framework for Adaptive Segmentation

Applied Sciences, 2019
Superpixel segmentation usually over-segments an image into fragments to extract regional features, thus linking up advanced computer vision tasks. In this work, a novel coarse-to-fine gradient ascent framework is proposed for superpixel-based color ...
Wangpeng He, Cheng Li, Yanzong Guo, Zhifei Wei, Baolong Guo   +4 more
doaj   +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

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

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