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International Conference of Soft Computing and Pattern Recognition (SoCPaR)

作者： Nguyen Duong Trung Dung Huynh Thi Thanh Binh Natl Univ Singapore Dept Comp Sci Singapore Singapore Hanoi Univ Sci & Technol Sch Informat & Commun Technol Hanoi Vietnam

ISBN: (纸本)9781479934003

This paper proposes an algorithm for image segmentation that improves the graph-based segmentation algorithm by exploiting contour information. The graph-based image segmentation [9] is a fast and efficient method of generating a set of segments from an image. However, its drawback is neglecting the contour information of pixels. Contour can provide significant cues to facilitate the efficient segmentation. We propose an improved weight function that incorporates contour feature into the dissimilarity measure of pixels. We performed experiments on the Berkeley image dataset. Our proposed approach attains significant performance. The experimental results show that our proposed approach is comparable to or even outperforms some state-of-the-art algorithms. In term of global consistency error, our method gives better result while other measures including Probabilistic Rand Index, Variation of Information, and Boundary Displacement Error are close to the best result given by state-of-the-art algorithms.

关键词： Image segmentation graph-based segmentation top-down approach bottom-up approach contour information orientation energy

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graph-based Layout Analysis for PDF Documents

Graph-based Layout Analysis for PDF Documents

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Conference on Imaging and Printing in a Web 2.0 World IV

作者： Xu, Canhui Tang, Zhi Tao, Xin Li, Yun Shi, Cao Peking Univ Inst Comp Sci & Technol Beijing 100871 Peoples R China

ISBN: (纸本)9780819494375

To increase the flexibility and enrich the reading experience of e-book on small portable screens, a graph based method is proposed to perform layout analysis on Portable Document Format (PDF) documents. Digital born document has its inherent advantages like representing texts and fractional images in explicit form, which can be straightforwardly exploited. To integrate traditional image-based document analysis and the inherent meta-data provided by PDF parser, the page primitives including text, image and path elements are processed to produce text and non text layer for respective analysis. graph-based method is developed in superpixel representation level, and page text elements corresponding to vertices are used to construct an undirected graph. Euclidean distance between adjacent vertices is applied in a top-down manner to cut the graph tree formed by Kruskal's algorithm. And edge orientation is then used in a bottom-up manner to extract text lines from each sub tree. On the other hand, non-textual objects are segmented by connected component analysis. For each segmented text and non-text composite, a 13-dimensional feature vector is extracted for labelling purpose. The experimental results on selected pages from PDF books are presented.

关键词： graph-based segmentation PDF document analysis image based document analysis

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AUTOMATED ANALYSIS OF CARTILAGE MORPHOLOGY

AUTOMATED ANALYSIS OF CARTILAGE MORPHOLOGY

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IEEE 10th International Symposium on Biomedical Imaging - From Nano to Macro (ISBI)

作者： Kashyap, Satyananda Yin, Yin Sonka, Milan Univ Iowa Dept Elect & Comp Engn Iowa City IA 52246 USA iCAD Inc Nashua NH 03062 USA

ISBN: (纸本)9781467364553

Magnetic Resonance Imaging (MRI) allows early detection of and assessment of progression in Osteoarthritis (OA). It is known that the rate of cartilage loss varies in individual cartilage plates. No known completely automated algorithms exist to reliably segments MRI image data and accurately delineate cartilage plates. We report an automated method for cartilage segmentation and definition of cartilage plates. We present a modified Layered Optimal graph Image segmentation of Multiple Objects and Surfaces (LOGISMOS) with a robust steerable-feature-based design and demonstrate improvements of segmentation accuracy. Our new method was tested on 60 data sets provided by the MICCAI segmentation challenge 2010. The mean and standard deviation of surface positioning errors are reported for individual cartilage plate regions.

关键词： Osteoarthritis Knee segmentation Steerable Features Cartilage Plates LOGISMOS graph-based segmentation

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graph-based surface extraction of the liver using locally adaptive priors for multimodal interventional image registration

Graph-based surface extraction of the liver using locally ad...

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Conference on Medical Imaging - Image-Guided Procedures, Robotic Interventions and Modeling

作者： Kadoury, Samuel Wood, Bradford J. Venkatesan, Aradhana M. Ardon, Roberto Jago, James Kruecker, Jochen Philips Res N Amer 345 Scarborough Rd Briarcliff Manor NY 10510 USA Natl Inst Hlth Dept Diagnost Radiol Bethesda MD 20892 USA Philips Medisys Res Lab Paris France Philips Healthcare Bothell WA 98021 USA

ISBN: (纸本)9780819489654

The 3D fusion of tracked ultrasound with a diagnostic CT image has multiple benefits in a variety of interventional applications for oncology. Still, manual registration is a considerable drawback to the clinical workflow and hinders the widespread clinical adoption of this technique. In this paper, we propose a method to allow for an image-based automated registration, aligning multimodal images of the liver. We adopt a model-based approach that rigidly matches segmented liver shapes from ultrasound (U/S) and diagnostic CT imaging. Towards this end, a novel method which combines a dynamic region-growing method with a graph-based segmentation framework is introduced to address the challenging problem of liver segmentation from U/S. The method is able to extract liver boundary from U/S images after a partial surface is generated near the principal vector from an electromagnetically tracked U/S liver sweep. The liver boundary is subsequently expanded by modeling the problem as a graph-cut minimization scheme, where cost functions used to detect optimal surface topology are determined from adaptive priors of neighboring surface points. This allows including boundaries affected by shadow areas by compensating for varying levels of contrast. The segmentation of the liver surface is performed in 3D space for increased accuracy and robustness. The method was evaluated in a study involving 8 patients undergoing biopsy or radiofrequency ablation of the liver, yielding promising surface segmentation results based on ground-truth comparison. The proposed extended segmentation technique improved the fiducial landmark registration error compared to a point-based registration (7.2mm vs. 10.2mm on average, respectively), while achieving tumor target registration errors that are statistically equivalent (p > 0.05) to state-of-the-art methods.

关键词： CT ultrasound surface-based registration graph-based segmentation image-guided liver interventions

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A comparative study of some methods for color medical images segmentation

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EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 2011年第1期2011卷 1-12页

作者： Stanescu, Liana Burdescu, Dumitru Dan Brezovan, Marius Univ Craiova Fac Automat Comp & Elect Craiova 200440 Romania

The aim of this article is to study the problem of color medical images segmentation. The images represent pathologies of the digestive tract such as ulcer, polyps, esophagites, colitis, or ulcerous tumors, gathered with the help of an endoscope. This article presents the results of an objective and quantitative study of three segmentation algorithms. Two of them are well known: the color set back-projection algorithm and the local variation algorithm. The third method chosen is our original visual feature-based algorithm. It uses a graph constructed on a hexagonal structure containing half of the image pixels in order to determine a forest of maximum spanning trees for connected component representing visual objects. This third method is a superior one taking into consideration the obtained results and temporal complexity. These three methods were successfully used in generic color images segmentation. In order to evaluate these segmentation algorithms, we used error measuring methods that quantify the consistency between them. These measures allow a principled comparison between segmentation results on different images, with differing numbers of regions generated by different algorithms with different parameters.

关键词： graph-based segmentation color segmentation segmentation evaluation error measures

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Vessel Boundary Delineation on Fundus Images Using graph-based Approach

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IEEE TRANSACTIONS ON MEDICAL IMAGING 2011年第6期30卷 1184-1191页

作者： Xu, Xiayu Niemeijer, Meindert Song, Qi Sonka, Milan Garvin, Mona K. Reinhardt, Joseph M. Abramoff, Michael D. Univ Iowa Dept Ophthalmol & Visual Sci Iowa City IA 52242 USA Univ Iowa Dept Biomed Engn Iowa City IA 52242 USA Univ Iowa Dept Elect & Comp Engn Iowa City IA 52242 USA Vet Adm Med Ctr Iowa City IA 52242 USA

This paper proposes an algorithm to measure the width of retinal vessels in fundus photographs using graph-based algorithm to segment both vessel edges simultaneously. First, the simultaneous two-boundary segmentation problem is modeled as a two-slice, 3-D surface segmentation problem, which is further converted into the problem of computing a minimum closed set in a node-weighted graph. An initial segmentation is generated from a vessel probability image. We use the REVIEW database to evaluate diameter measurement performance. The algorithm is robust and estimates the vessel width with subpixel accuracy. The method is used to explore the relationship between the average vessel width and the distance from the optic disc in 600 subjects.

关键词： graph-based segmentation retinal photography vessel width measurement

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RETINAL VESSEL WIDTH MEASUREMENTS based ON A graph-THEORETIC METHOD

RETINAL VESSEL WIDTH MEASUREMENTS BASED ON A GRAPH-THEORETIC...

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8th IEEE International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro

作者： Xu, X. Niemeijer, M. Song, Q. Garvin, M. K. Reinhardt, J. M. Abramoff, M. D. Univ Iowa Dept Biomed Engn Iowa City IA 52242 USA Univ Iowa Dept Elect & Comp Engn Iowa City IA 52242 USA Univ Iowa Dept Ophthalmol & Visual Sci Iowa City IA 52242 USA Univ Iowa Ctr Excellence Prevent Visual Loss & Blindness Dept Vet Affairs Iowa City IA 52242 USA

ISBN: (纸本)9781424441280

A reliable and accurate method to measure the width of retinal blood vessel in fundus photography is proposed in this paper. Our approach is based on a graph-theoretic algorithm. The two boundaries of the same blood vessel are segmented simultaneously by converting the two-boundary segmentation problem into a two-slice, three-dimension surface segmentation problem, which is further converted into the problem of computing a minimum closed set in a node-weighted graph. An initial segmentation is generated from a vessel probability image. Two datasets from the REVIEW database were used to assess the performance of proposed method. This algorithm is robust and is able to produce accurate measurements.

关键词： retinal photography graph-based segmentation vessel width measurement

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Depth Estimation Using Monocular Cues from Single Image

Depth Estimation Using Monocular Cues from Single Image

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National Postgraduate Conference

作者： Yasir Salih Aamir S. Malik Zazilah May Dept. of Electrical & Electronic Engineering Uinversiti Teknologi PETRONAS

ISBN: (纸本)9781457718823

This paper investigates depth estimation using monocular cues. Human visual system uses monocular cues such as texture, focus and shading for depth perception. Our proposed algorithm is based on segmenting the image into homogenous segments (superpixels), and then out of these segments we extract the ground segment and the sky segment. These two segments guide the depth estimation by providing region with maximum depth (sky) and region with minimum depth (ground). The reset of the segments will have a depth value between the sky and ground. This algorithm address image that contains sky and ground as a part of the image. The ground acts as a support for segments (eg. Trees, buildings) in the image, thus a vertical image segments tends to have similar depth as its ground support. On the other hand, some images are not supported by the ground but they are connected to it, therefore these segments will have depth value larger than its nearest ground pixels.

关键词： Monocular features Depth from focus graph-based segmentation Texture feature

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segmentation and Classification of Range Image from an Intelligent Vehicle in Urban Environment

Segmentation and Classification of Range Image from an Intel...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Zhu, Xiaolong Zhao, Huijing Liu, Yiming Zhao, Yipu Zha, Hongbin Peking Univ State Key Lab Machine Percept MOE Beijing Peoples R China

ISBN: (纸本)9781424466757

As the rapid development of sensing and mapping techniques, it becomes a well-known technology that a map of complex environment can be generated using a robot carrying sensors. However, most of the existing researches represent environments directly using the integration of point clouds or other low-level geometric primitives. It remains an open problem to automatically convert these low-level map representations to semantic descriptions in order to effectively support high-level decision of a robot. based on another representation of 3D point clouds, i.e. range image, this paper proposes a framework of segmentation and classification of range image, the objective of which is to annotate class labels to the data clusters that are obtained through a graph-based segmentation. Experimental results are presented and evaluated demonstrating that the proposed algorithm has efficiency in understanding the semantic knowledge of a large dynamic urban outdoor environment.

关键词： 3D point cloud integration dynamic urban outdoor environment graph theory graph-based segmentation image classification image segmentation intelligent robots intelligent vehicle low-level geometric primitives mobile robots range image classification range image segmentation robot carrying sensors robot vision semantic knowledge

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Multistage graph-based segmentation of thoracoscopic images

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COMPUTERIZED MEDICAL IMAGING AND graphICS 2006年第8期30卷 437-446页

作者： Bilodeau, Guillaume-Alexandre Shu, Yueyun Cheriet, Farida Ecole Polytech Montreal PQ H3C 3A7 Canada Hop St Justine Montreal PQ H3T 1C5 Canada

This paper presents a graph-based segmentation method using multiple criteria in successive stages to segment thoracoscopic images acquired during a diskectomy procedure commonly used for thoracoscopic anterior release and fusion for scoliosis treatment. Starting with image preprocessing, including Gaussian smoothing, brightness and contrast enhancement, and histogram thresholding, a standard graph-based method is applied to produce a coarse segmentation of thoracoscopic images. Next, regions are further merged in a multistage graph-based process based on features like grey-level similarity, region size and common edge length. Experimental results show that our approach achieves good spatial coherence, accurate. edge location and appropriate segmentation of the regions of interest from a sequence of thoracoscopic images. (c) 2006 Elsevier Ltd. All rights reserved.

关键词： thoracic diskectomy thoracoscopic images video-assisted thoracoscopic surgery (VATS) graph-based segmentation region merging

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