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Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme
2005
Medical Imaging 2005: Image Processing
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Local, regional, global, and hierarchical components are combined task-specifically guiding the iterative region merging process. ...
Region merging based on a local model fails to detect most bones, while a correct localization and delineation is obtained with the combined model. ...
Le 1108/4 and Le 1108/6. ...
doi:10.1117/12.595468
dblp:conf/miip/LehmannBT005
fatcat:4sdwhppa7bgt7g3pjil3djfm4a
Hierarchical Segmentation Satisfying Constraints
1994
Procedings of the British Machine Vision Conference 1994
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A new hierarchical segmentation algorithm is described. Its computational complexity and memory requirements are detailed, showing it to be practicably applicable to images of useful size. ...
A simple modification of the algorithm adapts it to produce hierarchical segmentations that satisfy a constraint set. ...
Hierarchical Segmentation A hierarchical segmentation of an image is a tree structure by inclusion of connected image regions. ...
doi:10.5244/c.8.13
dblp:conf/bmvc/GriffinCRS94
fatcat:a5qpxzu55ngj3o5nsizyzwwshu
Low level image partitioning guided by the gradient watershed hierarchy
1999
Signal Processing
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For both algorithms, a stopping criterion which de"nes and extracts automatically each hierarchical level is proposed. ...
The proposed bottom-up procedure provides an essential aid to the precise classi"cation of anatomical objects when used together with a user-interface environment. 1999 Elsevier Science B.V. ...
Introduction A meaningful image segmentation groups the pixels into disjoint regions that consist of uniform components. ...
doi:10.1016/s0165-1684(98)00232-1
fatcat:cpcufivfzzc7jawwzp7yjver7e
KL divergence based agglomerative clustering for automated Vitiligo grading
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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In this paper we present a symmetric KL divergence based agglomerative clustering framework to segment multiple levels of depigmentation in Vitiligo images. ...
We introduce albedo and reflectance fields as features for the distance computations. We compare against other established methods to bring out possible pros and cons of the proposed method. ...
Extension to Vitiligo image segmentation We develop a Vitiligo image segmentation routine based on the bottom up hierarchical agglomerative clustering algorithm developed in the previous section. ...
doi:10.1109/cvpr.2015.7298886
dblp:conf/cvpr/GuptaSMA15
fatcat:os3gvi6efvg3xgljdclfkzmnwa
Adaptive strategy for superpixel-based region-growing image segmentation
2017
Journal of Electronic Imaging (JEI)
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2018 pre-print arXiv:1803.06541v1 fatcat:nfwftjwx2jc2nhgtttyef5dhgy
From an initial contour-constrained over-segmentation of the input image, the image segmentation is achieved by iteratively merging similar superpixels into regions. ...
Secondly, we propose a global merging strategy to efficiently guide the region merging process. ...
This hierarchical tree is constructed in a bottom-up fashion. Two similar neighbor regions are grouped into one parent region node. ...
doi:10.1117/1.jei.26.6.061605
fatcat:4vmtybmlc5duxgf2xqgts44qfu
Figure-Ground Segmentation Techniques
2015
International Journal of Science and Research (IJSR)
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Image segmentation is the process of dividing an image into multiple segments, such that the representation of an image changes, which makes analysis of image easier. ...
This paper deals with survey of various figureground segmentation techniques and efficient approaches for object recognition. ...
Regional contrast (RC) evaluates global contrast differences and spatial coherence. Two-Stage Scheme(TSS) is used for bottom-up saliency detection. ...
doi:10.21275/v4i11.nov151567
fatcat:n343yvs7mfdhdjvtmeigh2x6wu
Learning to Segment Neurons with Non-local Quality Measures
[chapter]
2013
Lecture Notes in Computer Science
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Segmentation schemes such as hierarchical region merging or correllation clustering rely on edge weights between adjacent (super-)voxels. ...
This ignores that a few local mistakes (tiny boundary gaps) can cause catastrophic global segmentation errors. ...
We would like to thank Harald Hess and C. Shan Xu at Janelia Farm Howard Hughes Medical Institute for providing the drosophila dataset. ...
doi:10.1007/978-3-642-40763-5_52
fatcat:batec4i7j5h5netavqko2jlz2a
A Randomized Ensemble Approach to Industrial CT Segmentation
2015
2015 IEEE International Conference on Computer Vision (ICCV)
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Tuning the models and parameters of common segmentation approaches is challenging especially in the presence of noise and artifacts. ...
We demonstrate the effectiveness of our approach using a set of noise and artifact rich CT images from baggage security and show that it significantly outperforms existing solutions in this area. ...
Instead, we introduce a new ensemble based segmentation framework that uses a simple bottom-up hierarchical segmentation with a randomized merge order to create multiple hypotheses, similar to the approach ...
doi:10.1109/iccv.2015.199
dblp:conf/iccv/KimTB15
fatcat:zltkelzusvh25nzb7dz6cwfvee
Scene analysis with structural prototypes for content-based image retrieval in medicine
2008
Medical Imaging 2008: Image Processing
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The content of medical images can often be described as a composition of relevant objects with distinct relationships. ...
As new image content is represented by hierarchical attributed region adjacency graphs (HARAGs) which are obtained by region-growing, the task of object or scene identification corresponds to the problem ...
We also acknowledge the contributions of Ilja Bezrukov to the graph matching framework. ...
doi:10.1117/12.770541
dblp:conf/miip/FischerSGD08
fatcat:2querfke2bguzh6v2hho6nvo5i
Anomaly detection and target prioritization in planetary imagery via the automated global feature analyzer (AGFA): Progress towards a driver for autonomous C4ISR missions
2018
Micro- and Nanotechnology Sensors, Systems, and Applications X
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Imaged operational areas are locally processed via a cascade of image segmentation, visual and geometric feature extraction, agglomerative clustering, and principal components analysis. ...
Anomalous regions may be considered immediate targets for follow-up in-situ investigation by local robotic agents, which can be directed via autonomous telecommanding, e.g., as part of a Tier-Scalable ...
Image Segmentation An image is partitioned into superpixels using the SLIC algorithm, which consists of localized clustering in a 5D space composed of X-and Y-coordinates and three LAB color space values ...
doi:10.1117/12.2303795
fatcat:4mgglpdf55akvcxklcjd5txp4i
Review of Graph, Medical and Color Image base Segmentation Techniques
2012
IOSR Journal of Electrical and Electronics Engineering
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Rather than focusing on local features and their consistencies in the image data, their approach aims at extracting the global impression of an image. ...
In order to capture the colour-texture content, Rosenfeld et al. [16] calculated the absolute difference distributions of pixels in multi-band images, while Hild et al. [17] proposed a bottom-up segmentation ...
Next, the extraction of the colour and local edge pattern histograms are performed. P.Nammalwar et al. [43, 44] presents a similar strategy for a split and merge segmentation scheme. ...
doi:10.9790/1676-0110119
fatcat:qavtttve6bbq5bha7whhlgdco4
Image segmentation based on the integration of colour–texture descriptors—A review
2011
Pattern Recognition
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We conclude with a discussion that samples our views on the field of colour-texture image segmentation and this is complemented with an examination of the potential future directions of research. ...
Over the past three decades a substantial number of techniques in the field of colour-texture segmentation have been reported and it is the aim of this article to thoroughly evaluate and categorise the ...
[23] proposed a bottom-up segmentation framework where the colour and texture feature vectors were separately extracted and then combined for knowledge indexing. ...
doi:10.1016/j.patcog.2011.03.005
fatcat:6zdfsvzq7vgafgemz3x2aslomu
Scale-dependent hierarchical unsupervised segmentation of textured images
2001
Pattern Recognition Letters
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The method achieves low error rates and it does not require any knowledge about the number of textures in the image. Ó ...
The main novelty of the approach is that spatial proximity has a progressively decreasing importance on lower resolution levels when hierarchically segmenting the data structure. ...
Unsupervised clustering Once the image has been split into regions of roughly uniform texture, we apply a hierarchical clustering method to merge similar regions until a fusion criterion fails. ...
doi:10.1016/s0167-8655(00)00103-3
fatcat:nnp6lo5ldvavrewk7ouy3mmbq4
Classifying image analysis techniques from their output
2016
International Journal of Computational Intelligence Systems
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In particular, this paper pursues a clarification of the differences between image segmentation and edge detection, among other image processing techniques. ...
Because despite a particular image analysis technique can be supervised or unsupervised, and can allow or not the existence of fuzzy information at some stage, each technique has been usually designed ...
Acknowledgments This research has been partially supported by the Government of Spain, grant TIN2015-66471-P, and by the Government of the Community of Madrid, grant S2013/ICE-2845 (CASI-CAM-CM). ...
doi:10.1080/18756891.2016.1180819
fatcat:lhyv2aqc2fejxpitati6s7hswa
Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation
2009
IEEE Transactions on Image Processing
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In this work, we present a novel multiscale texture model, and a related algorithm for the unsupervised segmentation of color images. ...
) which takes into account both region scale and inter-region interactions. ...
The authors are also grateful to the authors of the SWA algorithm [19] for providing their segmentation tool. Finally, a special thank goes to Prof. G. ...
doi:10.1109/tip.2009.2020534
pmid:19447707
fatcat:kpcwy7wswbgebimdxalaemk7du
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