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Fast interactive segmentation algorithm of image sequences based on relative fuzzy connectedness

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology 2005年第10期27卷 1549-1554页

作者： Tian, Chun-Na Gao, Xin-Bo Halidan, A. School of Electronic Engineering Xidian University Xi'an 710071 China School of Electrical Engineering Xinjiang University Urumqi 830008 China

A fast interactive segmentation algorithm of image-sequences based on relative fuzzy connectedness is presented. In comparison with the existing algorithm, the proposed one, with the same accuracy, accelerates the segmentation speed by three times for single image. Meanwhile, this fast segmentation algorithm is extended from single object to multiple objects and from single-image to image-sequences. Thus the segmentation of multiple objects from complex background and batch segmentation of image-sequences can be achieved. In addition, a post-processing scheme is incorporated in this algorithm, which extracts smooth edge with one-pixel-width for each segmented object. The experimental results illustrate that the proposed algorithm can obtain the object regions of interest from medical image or image-sequences as well as man-made images quickly and reliably with only a little interaction.

关键词： Fuzzy connectedness image-sequences segmentation interactive image segmentation Multiple objects segmentation

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Random walks for interactive alpha-matting

Random walks for interactive alpha-matting

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5th IASTED International Conference on Visualization, Imaging, and image Processing

作者： Grady, L Schiwietz, T Aharon, S Westermann, R Siemens Corp Res Imaging & Visualizat Princeton NJ USA

ISBN: (纸本)0889865280

interactive, efficient, methods of foreground extraction and alpha-matting are of increasing practical importance for digital image editing. Although several new approaches to this problem have recently been developed, many challenges remain. We propose a new technique based on random walks that has the following advantages: First, by leveraging a recent technique from manifold learning theory, we effectively use RGB values to set boundaries for the random walker, even in fuzzy or low-contrast images. Second, the algorithm is straightforward to implement, requires specification of only a single free parameter (set the same for all images), and performs the segmentation and alpha-matting in a single step. Third, the user may locally fine tune the results by interactively manipulating the foreground[background maps. Finally, the algorithm has an inherit parallelism that leads to a particularly efficient implementation via the graphics processing unit (GPU). Our method. processes a 1024 x 1024 image at the interactive speed of 0.5 seconds and, most importantly, produces high-quality results. We show that our algorithm can generate good segmentation and matting results at an interactive rate with minimal user interaction.

关键词： interactive image segmentation alpha matting random walks general purpose GPU image editing object extraction

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Combining strings and necklaces for interactive three-dimensional segmentation of spinal images using an integral deformable spine model

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IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 2004年第10期51卷 1821-1829页

作者： Ghebreab, S Smeulders, AWM Univ Amsterdam Intelligent Sensory Informat Syst Grp Inst Informat Fac Sci NL-1098 SJ Amsterdam Netherlands

segmentation of the spine directly from three-dimensional (3-D) image data is desirable to accurately capture its morphological properties. We describe a method that allows true 3-D spinal image segmentation using a deformable integral spine model. The method learns the appearance of vertebrae from multiple continuous features recorded along vertebra boundaries in a given training set of images. Important summarizing statistics are encoded into a necklace model on which landmarks are differentiated on their free dimensions. The landmarks are used within a priority segmentation scheme to reduce the complexity of the segmentation problem. Necklace models are coupled by string models. The string models describe in detail the biological variability in the appearance of spinal curvatures from multiple continuous features recorded in the training set. In the segmentation phase, the necklace and string models are used to interactively detect vertebral structures in new image data via elastic deformation reminiscent of a marionette with strings allowing for movement between interrelated structures. Strings constrain the deformation of the spine model within feasible solutions. The driving application in this work is analysis of computed tomography scans of the human lumbar spine. An illustration of the segmentation process shows that the method is promising for segmentation of the spine and for assessment of its morphological properties.

关键词： energy-minimization methods functional data analysis interactive image segmentation landmark-based object segmentation statistical deformable models

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Lazy snapping

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ACM TRANSACTIONS ON GRAPHICS 2004年第3期23卷 303-308页

作者： Li, Y Sun, J Tang, CK Shum, IY Hong Kong Univ Sci & Technol Hong Kong Hong Kong Peoples R China Microsoft Res Asia Beijing Peoples R China

In this paper, we present Lazy Snapping, an interactive image cutout tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy. Moreover, Lazy Snapping provides instant visual feedback, snapping the cutout contour to the true object boundary efficiently despite the presence of ambiguous or low contrast edges. Instant feedback is made possible by a novel image segmentation algorithm which combines graph cut with pre-computed over-segmentation. A set of intuitive user interface (UI) tools is designed and implemented to provide flexible control and editing for the users. Usability studies indicate that Lazy Snapping provides a better user experience and produces better segmentation results than the state-of-the-art interactive image cutout tool, Magnetic Lasso in Adobe Photoshop.

关键词： user interface image cutout interactive image segmentation graph cut

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"GrabCut" - interactive foreground extraction using iterated graph cuts

"GrabCut" - Interactive foreground extraction using iterated...

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Annual Symposium of the ACM SIGGRAPH

作者： Rother, C Kolmogorov, V Blake, A Microsoft Res Cambridge Cambridge England

The problem of efficient, interactive foreground/background segmentation in still images is of great practical importance in image editing. Classical image segmentation tools use either texture (colour) information, e.g. Magic Wand, or edge (contrast) information, e.g. Intelligent Scissors. Recently, an approach based on optimization by graph-cut has been developed which successfully combines both types of information. In this paper we extend the graph-cut approach in three respects. First, we have developed a more powerful, iterative version of the optimisation. Secondly, the power of the iterative algorithm is used to simplify substantially the user interaction needed for a given quality of result. Thirdly, a robust algorithm for "border matting" has been developed to estimate simultaneously the alpha-matte around an object boundary and the colours of foreground pixels. We show that for moderately difficult examples the proposed method outperforms competitive tools.

关键词： interactive image segmentation graph cuts image editing foreground extraction alpha matting

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Lazy snapping

Lazy snapping

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Annual Symposium of the ACM SIGGRAPH

作者： Li, Y Sun, J Tang, CK Shum, IY Hong Kong Univ Sci & Technol Hong Kong Hong Kong Peoples R China Microsoft Res Asia Beijing Peoples R China

关键词： user interface image cutout interactive image segmentation graph cut

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"GrabCut" - interactive foreground extraction using iterated graph cuts

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ACM TRANSACTIONS ON GRAPHICS 2004年第3期23卷 309-314页

作者： Rother, C Kolmogorov, V Blake, A Microsoft Res Cambridge Cambridge England

关键词： interactive image segmentation graph cuts image editing foreground extraction alpha matting

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Enhancing human-computer interaction in medical segmentation

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PROCEEDINGS OF THE IEEE 2003年第9期91卷 1430-1442页

作者： Harders, M Székely, G Swiss Fed Inst Technol Comp Vis Lab ETH Zentrum CH-8092 Zurich Switzerland

Medical image acquisition devices are becoming increasingly multidimensional, and predictions assume 5600 images per patient study within the next decade. Therefore, new paradigms for computerized medical image analysis and visualization are of fundamental importance to make possibly full use of the information buried in the enormous flood of image data. The aim of the presented project is the optimal cooperation between computer-based image,analysis algorithms and human operators using new closed-loop segmentation systems for improved information flow. This paper describes an enhanced, visuo-haptic interaction tool we have developed for medical segmentation. Evaluation studies with the system, which confirm the value of adding haptic feedback, are also presented.

关键词： haptic interaction human-computer interaction interactive image segmentation

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VISIBLY BETTER EDGE-DETECTION USING OBSERVED image CONTRASTS

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PATTERN RECOGNITION LETTERS 1994年第7期15卷 641-647页

作者： KAUSHAL, TP IBM UK Scientific Centre Aquitaine House St Clement Street Winchester SO23 9DR United Kingdom

For an interactive, computer-aided image segmentation tool to work convincingly, the edges marked by it should, where possible, match those observed by the user on the displayed image (illusory edges excluded). An improvement in edge correspondence can be obtained by calculating observed luminance contrasts. These account for both the non-linearity of the screen and for the veiling effect of room illumination on the displayed image. It is shown how a logarithmic transformation of the photopic luminance data can be used in conjunction with the Canny operator to produce a visually convincing contrast edge map.

关键词： LUMINANCE CONTRAST LOGARITHMIC TRANSFORMATION CANNY OPERATOR EDGE-DETECTION interactive image segmentation

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TOWARDS VISUALLY CONVINCING image segmentation

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image AND VISION COMPUTING 1992年第9期10卷 617-624页

作者： KAUSHAL, TP IBM CORP UK SCI CTRWINCHESTERENGLAND

The aim of this work is to bring the computer marking of edges (on grey images) into closer correspondence with the perception of edges when an image is viewed on a typical computer screen under normal lighting conditions. To obtain the required correspondence, the computer should start off with comparable source. data to the human, and perform similar edge-detecting operations on that data. Calculation of the amount of stimulation received by the eye requires knowledge of the screen's photopic emission, the amount of ambient light reflected from the screen, and the eye's sensitivity to luminance contrast. The contrast calculation used was derived from Michelson contrast by separating out a term for the veiling light, L(veil). The contrast, here called veiled-Michelson contrast C(vM), is defined as C(vM) = (L(dmax) - L(dmin))/L(dmax) + L(dmin) + 2L(veil)), where L(dmax) is the greater of the two photopic luminances emitted by the screen in darkness. The results of this calculation are compared with those of a step-difference operator, and show a qualitively improved correspondence with the visual perception.

关键词： PHOTOPIC CORRECTION VEILED-MICHELSON CONTRAST interactive image segmentation

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