Results 51 to 60 of about 15,689 (243)
Superpixel Segmentation Algorithm by Spatial Constrained Density Clustering
Journal of Harbin University of Science and Technology, 2020 The superpixel segmentation is an important pre-processing step in computer image processing. Thetraditional superpixel segmentation algorithm based on density clustering is better for boundary processing，but the resulting superpixel shape is irregular ...
HAN Jian-hui, TANG Jun-chao
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Small, EarlyView.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 +4 more
wiley +1 more source
A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes
The Journal of Physiology, EarlyView.Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner +6 more
wiley +1 more source
GASP : Geometric Association with Surface Patches
, 2014 A fundamental challenge to sensory processing tasks in perception and robotics is the problem of obtaining data associations across views. We present a robust solution for ascertaining potentially dense surface patch (superpixel) associations, requiring ...
Christensen, Henrik I. +2 more
core +1 more source
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
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.
Bauda, Marie-Anne +3 more
openaire +2 more sources
Multiscale Superpixel-Based Fine Classification of Crops in the UAV-Based Hyperspectral Imagery
Remote Sensing, 2022 As an effective approach to obtaining agricultural information, the remote sensing technique has been applied in the classification of crop types. The unmanned aerial vehicle (UAV)-manned hyperspectral sensors provide imagery with high spatial and high ...
Shuang Tian, Qikai Lu, Lifei Wei
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Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks
, 2018 In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and the segmentation-based multi-scale analysis to locate tampered areas in digital images.
Cao, Yun +3 more
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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 +5 more
wiley +1 more source
Efficient Color Quantization Using Superpixels
Sensors, 2022 We propose three methods for the color quantization of superpixel images. Prior to the application of each method, the target image is first segmented into a finite number of superpixels by grouping the pixels that are similar in color. The color of a superpixel is given by the arithmetic mean of the colors of all constituent pixels.
Mariusz Frackiewicz, Henryk Palus
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