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Parallel Volume Image Segmentation with Watershed Transformation [chapter]

Björn Wagner, Andreas Dinges, Paul Müller, Gundolf Haase
2009 Lecture Notes in Computer Science  
We present a novel approach to parallel image segmentation of volume images on shared memory computer systems with watershed transformation by immersion.  ...  We use the domain decomposition method to break the sequential algorithm in multiple threads for parallel computation.  ...  The Parallel Watershed Algorithm For the parallel watershed transformation we apply the divide and conquer principle.  ... 
doi:10.1007/978-3-642-02230-2_43 fatcat:w5vkcztf4fcmrixky6q46zfcne

An Accurate Liver Segmentation Method Using Parallel Computing Algorithm

Yousif Mohamed Y. Abdallah
2015 Journal of Biomedical Engineering and Medical Imaging  
The watershed transform finds "catchment basins" and "watershed ridge lines" in an image by treating it as a surface where light pixels are high and dark pixels are low.  ...  Thus, with using segmentation based algorithm, choice of appropriate segmentation technique type for each circumstance becomes an essential task.  ...  as the Segmentation FunctionThe image was segmented by using the watershed transform directly on the gradient magnitude (Figure4).  ... 
doi:10.14738/jbemi.23.1187 fatcat:hoif7glio5cm5p6fdyrg2doacq

3D multiscale segmentation and morphological analysis of x-ray microtomography from cold-sprayed coatings

L. GILLIBERT, C. PEYREGA, D. JEULIN, V. GUIPONT, M. JEANDIN
2012 Journal of Microscopy  
Results on a X-ray microtomographic image of aluminium particles are presented and validated.  ...  A noisetolerant segmentation algorithm is introduced, based on the combination of two segmentations: a deterministic multiscale segmentation and a stochastic segmentation.  ...  Multiscale image segmentation The first method handled to segment the particles is based on successive 3D watershed transforms with markers determined in advance by thresholding the original image.  ... 
doi:10.1111/j.1365-2818.2012.03655.x pmid:22946787 fatcat:4siumtkm3jeipgt2kumzhlx6cm

Reboost Image Segmentation using Genetic Algorithm

Ashutosh Jaiswal, Lavika Kurda, Vijai Singh
2013 International Journal of Computer Applications  
Proposed algorithm strongly supports the better quality of segmentation. Experiments on standard images have given the satisfactory and comparable results with other techniques.  ...  This paper present a Improved Algorithm for Image Segmentation System for a RGB colour image, and presents a proposed efficient colour image segmentation algorithm based on evolutionary approach i. e.  ...  Gabbouj, "Parallel image component labeling with watershed transformation", IEEE Trans. Pattern Anal. MachineIntell. vol. 19, pp. 441-450. J.  ... 
doi:10.5120/12076-7656 fatcat:bzisnki7pzcjdck2egigt346la

Automated quantification of colonic crypt morphology using integrated microscopy and optical coherence tomography

Xin Qi, Yinsheng Pan, Zhilin Hu, Wei Kang, Joseph E. Willis, Kayode Olowe, Michael V. Sivak, Andrew M. Rollins
2008 Journal of Biomedical Optics  
analysis. 2-D microscopic images with methylene blue staining and correlated 3-D OCT volumes were segmented using marker-based watershed segmentation. 2-D and 3-D crypt morphological features were quantified  ...  The accuracy of segmentation was validated, and measured features are in agreement with known crypt morphology.  ...  with the markercontrolled watershed segmentation results.  ... 
doi:10.1117/1.2993323 pmid:19021435 fatcat:khdc5l4prjhyblv5t5lgcwrgn4

A Strategy of Parallel Seed-Based Image Segmentation Algorithms for Handling Massive Image Tiles over the Spark Platform

Fang Chen, Ning Wang, Bo Yu, Yuchu Qin, Lei Wang
2021 Remote Sensing  
The volume of remote sensing images continues to grow as image sources become more diversified and with increasing spatial and spectral resolution.  ...  There has been an increasing number of big data technologies that have been adopted to deal with large images using mature parallel technology.  ...  Afterwards, the auxiliary and spectral bands are transformed by the shuffle operation. The buffered tiles are collected and the mask areas are segmented in parallel with the same algorithms.  ... 
doi:10.3390/rs13101969 fatcat:ytdryz465vadxdmkaewixhobgi

Case study: an evaluation of user-assisted hierarchical watershed segmentation

Joshua E. Cates, Ross T. Whitaker, Greg M. Jones
2005 Medical Image Analysis  
This paper evaluates the effectiveness of an interactive, three-dimensional image segmentation technique that relies on watersheds.  ...  The watershed segmentation technique showed improved subject interaction times and increased intersubject precision over hand contouring, with quality that is visually and statistically comparable.  ...  The latter includes recent work on parallelization of transforms.  ... 
doi:10.1016/j.media.2005.04.007 pmid:15919233 fatcat:lso2xh7qwrewnohk3jomp5nodm

Improved Watershed Transform for Medical Image Segmentation Using Prior Information

V. Grau, A.U.J. Mewes, M. Alcaniz, R. Kikinis, S.K. Warfield
2004 IEEE Transactions on Medical Imaging  
The watershed transform has interesting properties that make it useful for many different image segmentation applications: it is simple and intuitive, can be parallelized, and always produces a complete  ...  Furthermore, we introduce a method to combine the watershed transform and atlas registration, through the use of markers.  ...  Welsch for manually segmenting most of the knee scans.  ... 
doi:10.1109/tmi.2004.824224 pmid:15084070 fatcat:d5ywoydrlvg7fhrfmetlty5ztq

Pulmonary Parenchyma Segmentation by Watershed Transform

Xing Li, Ruiping Wang, Xueqin Chen, Sha Chang
2011 International Journal of Engineering and Manufacturing  
Index Terms: Image segmentation,Watershed algorithm, Mathematical morphology,Sobel operator  ...  Extracting the local maximum associated with object will constitute the binary marker image.  ...  An automated lung segmentation method using watershed transform has been developed in this paper, which is accurate, fast and can be parallelized to make it less time-consuming for the high volume datasets  ... 
doi:10.5815/ijem.2011.02.10 fatcat:rrrfsq34q5fzflksy3klvhdyh4

Efficient 2D and 3D watershed on graphics processing unit: block-asynchronous approaches based on cellular automata

Pablo Quesada-Barriuso, Dora B. Heras, Francisco Argüello
2013 Computers & electrical engineering  
The watershed transform is a method for non-supervised image segmentation.  ...  The method is tuned to be applied to 3D volumes obtaining similar results.  ...  Watershed transform The watershed transform is a region-based technique for image segmentation which is particularly interesting when the images have low contrast.  ... 
doi:10.1016/j.compeleceng.2013.04.020 fatcat:beouh2rnjfb55h43eoux4ro5bm

Model-controlled flooding with applications to image reconstruction and segmentation

Quanli Wang
2012 Journal of Electronic Imaging (JEI)  
This extends the watershed transform for segmentation by allowing the integration of a priori information about image objects into flooding simulation processes.  ...  MCF reconstruction defines images with desirable features for further segmentation using existing methods and can lead to substantial improvements.  ...  Fig. 3 . 3 (a) input binary particle image, (b) watershed segmentation, (c) MCF Size Transform with minimum size 25, (d) MCF Size Transform with minimum size 100, (e) number of particles vs. minimum size  ... 
doi:10.1117/1.jei.21.2.023020 pmid:23049229 pmcid:PMC3462023 fatcat:witwloegxfhdpfwjly3xez3tt4

A Review of Watershed Implementations for Segmentation of Volumetric Images

Anton Kornilov, Ilia Safonov, Ivan Yakimchuk
2022 Journal of Imaging  
Watershed is a widely used image segmentation algorithm.  ...  In addition, we forecast future directions of software development for 3D image segmentation by watershed.  ...  Beucher and Lantuéjoul [20] introduced watershed for segmentation of grayscale images, although the watershed transformation as an operation of mathematical morphology was described a few years earlier  ... 
doi:10.3390/jimaging8050127 pmid:35621890 pmcid:PMC9146301 fatcat:h2h2yv2tv5calmkyn25rxdiaiq

REVIEW PAPER ON SEGMENTATION METHODS FOR MULTIOBJECT FEATURE EXTRACTION

Sonali Deshmukh .
2014 International Journal of Research in Engineering and Technology  
There are many multiobject extraction methods which can be use for image segmentation based on motion, color intensity and texture.  ...  Multiobject feature extraction system means a system that can extract features and locations of multiple objects in an image.  ...  Image segmentation methods such as watershed transformation, graph-cut methods, clustering methods and neural network approaches have many recent developments.  ... 
doi:10.15623/ijret.2014.0312009 fatcat:nosynxuy7fgspkzds5nr3bb6x4

Reconfigurable Morphological Image Processing Accelerator for Video Object Segmentation

Shao-Yi Chien, Liang-Gee Chen
2008 Journal of Signal Processing Systems  
Furthermore, with the proposed tiling and pipelined-parallel techniques, a realtime watershed transform can be achieved using 32 macro processing elements.  ...  Therefore, with the concepts of morphological image processing element array and stream processing, a reconfigurable morphological image processing accelerator is proposed, where by the proposed instruction  ...  Figure 16 16 Simplified watershed transform. a The origin result of watershed transform, where over-segmentation is severe. 1,067 operations are required. b Watershed with gradient values lower or equal  ... 
doi:10.1007/s11265-008-0311-6 fatcat:xvcwwp3ojfcrpervsqfo2blnre

Analysis of Tumor Characteristics based on MCA Decomposition and Watershed Segmentation

Narain Ponraj.D, Evangelin Jenifer.M, P. Poongodi, Samuel Manoharan.J
2012 International Journal of Computer Applications  
Second method uses watershed segmentation. Features are extracted and the best one is found out for efficient identification of breast cancer.  ...  The fully automated tumor segmentation in mammograms presents many challenges related to characteristics of an image. In this paper, two different methods for mass detection are applied.  ...  Fig. 12 : 12 (a) Segmented Image after MCA Decomposition and Thresholding (b) Segmented Image after Watershed Segmentation International Journal of Computer Applications (0975 -8887) Volume 42-No.4, March  ... 
doi:10.5120/5677-7714 fatcat:r44wwgueg5b4thpvzjahm7ltcy
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