A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf
.
Filters
GeoS: Geodesic Image Segmentation
[chapter]
2008
Lecture Notes in Computer Science
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. ...
Numerous results on interactive and automatic segmentation of photographs, video and volumetric medical image data are presented. ...
(a) Two input images. (b) unaries (from user strokes); (c) GeoS mean segmentation with no contrast. ...
doi:10.1007/978-3-540-88682-2_9
fatcat:qjnfzheufvarhertqd6soek5e4
Geodesic Paths for Image Segmentation with Implicit Region-based Homogeneity Enhancement
[article]
2021
arXiv
pre-print
Experimental results prove that the proposed model indeed outperforms state-of-the-art minimal paths-based image segmentation approaches. ...
Minimal paths are regarded as a powerful and efficient tool for boundary detection and image segmentation due to its global optimality and the well-established numerical solutions such as fast marching ...
image segmentation issues. ...
arXiv:2008.06909v4
fatcat:xltfsff6ineszmvnhtlmdk77gi
A Convex Geodesic Selective Model for Image Segmentation
2018
Journal of Mathematical Imaging and Vision
Selective segmentation is an important application of image processing. ...
In contrast to global segmentation in which all objects are segmented, selective segmentation is used to isolate specific objects in an image and is of particular interest in medical imaging -- permitting ...
Row 2 shows the original image with one marker point, the normalised geodesic distance map and the final segmentation result. ...
doi:10.1007/s10851-018-0857-2
fatcat:u6ygncaehjaujp4peqo4xsxv6q
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
2018
IEEE Transactions on Pattern Analysis and Machine Intelligence
Accurate medical image segmentation is essential for diagnosis, surgical planning and many other applications. ...
We validated the proposed framework in the context of 2D placenta segmentation from fetal MRI and 3D brain tumor segmentation from FLAIR images. ...
Let i be a pixel in an image I, then the unsigned geodesic distance from i to the scribble set SðS 2 fS f ; S b gÞ is: Gði; S; IÞ ¼ min j2S D geo ði; j; IÞ (1) D geo ði; j; IÞ ¼ min p2P i;j Z 1 0 krIðpðsÞÞ ...
doi:10.1109/tpami.2018.2840695
pmid:29993532
pmcid:PMC6594450
fatcat:u4ljunhfarclzlmlipbprvdi2e
Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces
2008
Procedings of the British Machine Vision Conference 2008
It is based on finding a globally optimal geodesic in the product space spanned by the image and the prior contour. To this end a branch-and-bound scheme is combined with shortest path techniques. ...
We propose an efficient polynomial time algorithm to match an elastically deforming shape to an image. ...
Global Geodesics vs. Ratio Minimizers in Tracking and Image Segmentation In this section we evaluate the proposed method for shape-based tracking and image segmentation. ...
doi:10.5244/c.22.28
dblp:conf/bmvc/SchoenemannSC08
fatcat:6lcndfglfbdztje5x5aeszfhya
Computerized tongue image segmentation via the double geo-vector flow
2014
Chinese Medicine
Third, a double geo-vector flow (DGF) was proposed to detect the tongue edge and segment the tongue region in the image, such that the geodesic flow was evaluated in the lower part, and the geo-gradient ...
segmentation. ...
Third, the DGF was proposed to detect the tongue edge and segment the tongue region in the image, such that the geodesic flow was evaluated in the under part, and the Geo-GVF was evaluated in the upper ...
doi:10.1186/1749-8546-9-7
pmid:24507094
pmcid:PMC3922256
fatcat:tqyaahnw2rgsphqbrlkgw6h37e
Segmentation of Façades from Urban 3D Point Clouds Using Geometrical and Morphological Attribute-Based Operators
2016
ISPRS International Journal of Geo-Information
Our methods are based on geometrical and geodesic constraints. Parameters are related to urban and architectural constraints. ...
In this paper, we propose automatic, parametric and robust approaches to segment façades from 3D point clouds. ...
The geodesic diameter L(X) = sup x∈X {l x (X)} is the length of the longest geodesic arc of X, i.e. the longest internal segment l x (X) connecting the two end points of X [31] . ...
doi:10.3390/ijgi5010006
fatcat:vn4rsfs2grhh5fzjnselvaodxa
Hierarchical sparse coding with geometric prior for visual geo-location
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
We then extend this approach to account for the availability of heterogeneous data modalities such as geo-tags and videos pertaining to different locations, and also study a relatively under-addressed ...
We address the problem of estimating location information of an image using principles from automated representation learning. ...
line segments of ground view images to perform location matching of planar structures under projective uncertainty. ...
doi:10.1109/cvpr.2015.7298857
dblp:conf/cvpr/Gopalan15
fatcat:aka4cafrgvekriqdsrscvxq2pi
Recognizing City Identity via Attribute Analysis of Geo-tagged Images
[chapter]
2014
Lecture Notes in Computer Science
Then, we conduct the city identity recognition experiments on the geo-tagged images and identify images with salient city identity on each city attribute. ...
In this work, we propose to characterize the identity of a city via an attribute analysis of 2 million geo-tagged images from 21 cities over 3 continents. ...
Here we choose geo-tagged images from photo sharing websites. ...
doi:10.1007/978-3-319-10578-9_34
fatcat:i73k63d77jh2hl2pr744gmp37a
Clustering geo-tagged photo collections using dynamic programming
2011
Proceedings of the 19th ACM international conference on Multimedia - MM '11
[4] studied hierarchical image annotation using event clustering of photos. Their method first processed time and then location using mean shift clustering. ...
For spatial reference clusterings, we use the distance between photo locations to construct a similar hierarchical spatial partitioning: sσ(i, j) = exp − dg(li, lj) σ . (4) dg is the approximate geodesic ...
doi:10.1145/2072298.2071929
dblp:conf/mm/Cooper11
fatcat:c6toarr7gvcdzktubrpfys6ah4
Multimodal geo-tagging in social media websites using hierarchical spatial segmentation
2012
Proceedings of the 5th International Workshop on Location-Based Social Networks - LBSN '12
The Flickr videos are tagged with the geo-information of the most similar training image within the regions that is previously filtered by the probabilistic model for each test video. ...
Many of these social media websites such as Flickr, Facebook and Youtube allows the user to manually label their uploaded videos with geo-information using a interface for dragging them into the map. ...
They find visual nearest neighbours to a single image based on low-level visual image descriptors and propagate the geo-location of the GPS-tagged neighbours. ...
doi:10.1145/2442796.2442805
dblp:conf/gis/KelmSS12
fatcat:drmx2yq2aff53prlewhuikzdke
Efficient Calculation of Distance Transform on Discrete Global Grid Systems
2022
ISPRS International Journal of Geo-Information
Computing a distance transform on traditional Geographic Information Systems (GIS) is usually adopted from image processing methods, albeit prone to distortion resulting from flat maps. ...
computation [18] , image segmentation [19] , and Convolutional Neural Networks [20] , to name a few. ...
Our system considers line segments of the feature as great-circle arcs, while this is not the case for ArcGIS Pro. ...
doi:10.3390/ijgi11060322
doaj:e5417b010769402c9fd95f094d29ef52
fatcat:46yhr4ur75bxpe564ohvlxfjye
An Improved Hybrid Segmentation Method for Remote Sensing Images
2019
ISPRS International Journal of Geo-Information
However, the existing methods ignore the fact that the same parameters must be applied to every segmented geo-object, and fail to consider the homogeneity between adjacent geo-objects. ...
Image segmentation technology, which can be used to completely partition a remote sensing image into non-overlapping regions in the image space, plays an indispensable role in high-resolution remote sensing ...
geo-objects used to merge similar segmented geo-objects. ...
doi:10.3390/ijgi8120543
fatcat:rxx5ho6ynvcjrgign2r4pkhgma
Deformation Estimation Using Beidou GEO-Satellite-Based Reflectometry
2021
Remote Sensing
This paper presents a novel deformation monitoring concept based on GNSS-R utilizing Beidou GEO satellites. ...
The geometrical properties of the GEO-based bistatic GNSS radar system are explored to build a theoretical connection between deformation quantity and the echo carrier phases. ...
Conventional methods mainly involve utilizing geodesic leveling, optical remote sensing, or positioning system. ...
doi:10.3390/rs13163285
fatcat:epuqfamzhvhhvow7l24st6bte4
What Is the Shape of Geographical Time-Space? A Three-Dimensional Model Made of Curves and Cones
2021
ISPRS International Journal of Geo-Information
Slower, short range flights are represented as curved lines above the earth surface with longer length than the geodesic, in order to account for a slower speed. ...
The novelty of the model resides in the use of cones to describing the terrestrial surface instead of graph faces, and in the use of curves instead of broken segments for edges. ...
The shortest edges must be drawn as straight lines in the plane, or as geodesic curves on the sphere. ...
doi:10.3390/ijgi10050340
fatcat:rvt5mg6g3fdovj3hspnjnac2b4
« Previous
Showing results 1 — 15 out of 979 results