Results 61 to 70 of about 357,344 (305)
Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion
Remote SensingRapid advancements in remote sensing (RS) imaging technology have heightened the demand for the precise and efficient interpretation of large-scale, high-resolution RS images. Although segmentation algorithms based on convolutional neural networks (CNNs)
Yice Cao +4 more
doaj +1 more source
Error Correction for Dense Semantic Image Labeling
, 2017 Pixelwise semantic image labeling is an important, yet challenging, task with many applications. Typical approaches to tackle this problem involve either the training of deep networks on vast amounts of images to directly infer the labels or the use of ...
Georgoulis, Stamatios +4 more
core +1 more source
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Semantic segmentation of remote sensing images based on dual‐channel attention mechanism
IET Image ProcessingDue to the inadequate utilization of data correlation and complementarity in the feature extraction process of multimodal remote sensing images, the paper proposes a deep learning semantic segmentation algorithm based on the Dual Channel Attention ...
Jionghui Jiang, Xi'an Feng, Hui Huang
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DFSNet: A 3D Point Cloud Segmentation Network toward Trees Detection in an Orchard Scene
SensorsIn order to guide orchard management robots to realize some tasks in orchard production such as autonomic navigation and precision spraying, this research proposed a deep-learning network called dynamic fusion segmentation network (DFSNet).
Xinrong Bu +5 more
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Color Image Segmentation Algorithm Combining SLIC with Improved Affinity Propagation Clustering [PDF]
Jisuanji gongcheng, 2018 When Adjacent Propagation(AP) clustering algorithm is used to segment color images,the similarity matrix has the problems of large scale,long clustering time,and high space complexity.Therefore,a new color image segmentation algorithm is proposed.A ...
CHENG Xianguo,WANG Mingjun
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Scaling Model Checking for DNN Analysis via State-Space Reduction and Input Segmentation (Extended Version) [PDF]
, 2023 Mahum Naseer +2 more
openalex +1 more source
FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
Active Contour Models for Manifold Valued Image Segmentation [PDF]
, 2013 Image segmentation is the process of partitioning a image into different regions or groups based on some characteristics like color, texture, motion or shape etc. Active contours is a popular variational method for object segmentation in images, in which
Bansal, Sumukh, Tatu, Aditya
core
Point cloud segmentation using hierarchical tree for architectural models
, 2018 Recent developments in the 3D scanning technologies have made the generation of highly accurate 3D point clouds relatively easy but the segmentation of these point clouds remains a challenging area.
Butt, Zain +3 more
core +1 more source