Results 11 to 20 of about 736,814 (346)

A NEW FRAMEWORK FOR OBJECT-BASED IMAGE ANALYSIS BASED ON SEGMENTATION SCALE SPACE AND RANDOM FOREST CLASSIFIER [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
In this paper a new object-based framework is developed for automate scale selection in image segmentation. The quality of image objects have an important impact on further analyses.
A. Hadavand, M. Saadatseresht, S. Homayouni   +2 more
doaj   +3 more sources

Scale Space Operators on Hierarchies of Segmentations [PDF]

, 2013
A hierarchy of segmentations(partitions) is a multiscale set representation of the image. This paper introduces a new set of scale space operators or transformations on the space of hierarchies of partitions. An ordering of hierarchies is proposed which is endowed by an ω-ordering based on a global energy over the classes of the hierarchy.
Bangalore Ravi Kiran, Jean Serra
openalex   +4 more sources

Double-Branch Multi-Scale Contextual Network: A Model for Multi-Scale Street Tree Segmentation in High-Resolution Remote Sensing Images

Sensors
Street trees are of great importance to urban green spaces. Quick and accurate segmentation of street trees from high-resolution remote sensing images is of great significance in urban green space management. However, traditional segmentation methods can
Hongyang Zhang, Shuo Liu
doaj   +2 more sources

Semantic Segmentation of Large-Scale Outdoor Point Clouds by Encoder–Decoder Shared MLPs with Multiple Losses

Remote Sensing, 2021
Semantic segmentation of large-scale outdoor 3D LiDAR point clouds becomes essential to understand the scene environment in various applications, such as geometry mapping, autonomous driving, and more.
Beanbonyka Rim, Ahyoung Lee, Min Hong
doaj   +2 more sources

Multi-scale space smoothing and segmentation of range data for robot navigation [PDF]

, 2010
One of the most essential problems for mobile robot navigation is to enable an autonomous robot to navigate in an unknown environment and to incrementally build a map of this environment while simultaneously using this map to compute its current location. This problem is usually referred to as Simultaneous Localization and Mapping (SLAM).
Fan Tang
openalex   +5 more sources

Attention Guided Encoder-Decoder Network With Multi-Scale Context Aggregation for Land Cover Segmentation

IEEE Access, 2020
Land cover segmentation is an important and challenging task in the field of remote sensing. Even though convolutional neural networks (CNNs) provide great support for semantic segmentation, standard models are still difficult to capture global ...
Shuyang Wang, Xiaodong Mu, Dongfang Yang, Hao He, Peng Zhao   +4 more
doaj   +2 more sources

A scale space based algorithm for automated segmentation of single shot tagged MRI of shearing deformation [PDF]

Magnetic Resonance Materials in Physics, Biology and Medicine, 2012
ObjectThis study proposes a scale space based algorithm for automated segmentation of single-shot tagged images of modest SNR. Furthermore the algorithm was designed for analysis of discontinuous or shearing types of motion, i.e.
André Sprengers, Matthan W.A. Caan, Kevin M. Moerman, Aart J. Nederveen, Rolf Lamerichs, Jaap Stoker   +5 more
openalex   +2 more sources

SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation

International Journal of Applied Earth Observations and Geoinformation
Semantic segmentation of urban-scale point clouds can effectively assist people in understanding and perceiving 3D urban scenes. Although a considerable number of deep learning models for the semantic segmentation of point clouds have been proposed, some
Wenxiao Zhan, Jing Chen
doaj   +2 more sources

Texture segmentation using local energy in wavelet scale space [PDF]

, 1996
Wavelet transforms are attracting increasing interest in computer vision because they provide a mathematical tool for multiscale image analysis. In this paper, we show that i) the subsampled wavelet multiresolution representation is translationally variant; and ii) a wavelet transform of a signal generally confounds the phase component of the analysing
Zhuoyang Xie, Michael Brady
openalex   +3 more sources

Dual-branch dynamic hierarchical U-Net with multi-layer space fusion attention for medical image segmentation [PDF]

Scientific Reports
Accurate segmentation of organs or lesions from medical images is essential for accurate disease diagnosis and organ morphometrics. Previously, most researchers mainly added feature extraction modules and simply aggregated the semantic features to U-Net ...
Zhen Wang, Shuang Fu, Hongguang Zhang, Chunyang Wang, Chunhui Xia, Pen Hou, Chunxue Shun, Ge Shun   +7 more
doaj   +2 more sources