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Topic

Image segmentation

About: Image segmentation is a(n) research topic. Over the lifetime, 79656 publication(s) have been published within this topic receiving 1808850 citation(s). The topic is also known as: sementation.

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Papers
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Open accessJournal ArticleDOI: 10.1109/34.868688
Jianbo Shi1, Jitendra Malik2Institutions (2)
Abstract: We propose a novel approach for solving the perceptual grouping problem in vision. Rather than focusing on local features and their consistencies in the image data, our approach aims at extracting the global impression of an image. We treat image segmentation as a graph partitioning problem and propose a novel global criterion, the normalized cut, for segmenting the graph. The normalized cut criterion measures both the total dissimilarity between the different groups as well as the total similarity within the groups. We show that an efficient computational technique based on a generalized eigenvalue problem can be used to optimize this criterion. We applied this approach to segmenting static images, as well as motion sequences, and found the results to be very encouraging.

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13,025 Citations


Journal ArticleDOI: 10.1109/34.1000236
Dorin Comaniciu1, Peter Meer1Institutions (1)
Abstract: A general non-parametric technique is proposed for the analysis of a complex multimodal feature space and to delineate arbitrarily shaped clusters in it. The basic computational module of the technique is an old pattern recognition procedure: the mean shift. For discrete data, we prove the convergence of a recursive mean shift procedure to the nearest stationary point of the underlying density function and, thus, its utility in detecting the modes of the density. The relation of the mean shift procedure to the Nadaraya-Watson estimator from kernel regression and the robust M-estimators; of location is also established. Algorithms for two low-level vision tasks discontinuity-preserving smoothing and image segmentation - are described as applications. In these algorithms, the only user-set parameter is the resolution of the analysis, and either gray-level or color images are accepted as input. Extensive experimental results illustrate their excellent performance.

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Topics: Mean-shift (63%), Smoothing (58%), Estimator (56%) ...read more

11,014 Citations


Open accessProceedings ArticleDOI: 10.1109/CVPR.1997.609407
Jianbo Shi1, Jitendra Malik1Institutions (1)
17 Jun 1997-
Abstract: We propose a novel approach for solving the perceptual grouping problem in vision. Rather than focusing on local features and their consistencies in the image data, our approach aims at extracting the global impression of an image. We treat image segmentation as a graph partitioning problem and propose a novel global criterion, the normalized cut, for segmenting the graph. The normalized cut criterion measures both the total dissimilarity between the different groups as well as the total similarity within the groups. We show that an efficient computational technique based on a generalized eigenvalue problem can be used to optimize this criterion. We have applied this approach to segmenting static images and found results very encouraging.

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Topics: Image segmentation (61%), Graph partition (54%), Graph (abstract data type) (53%) ...read more

10,996 Citations


Open accessJournal ArticleDOI: 10.1109/83.902291
Tony F. Chan1, Luminita A. Vese1Institutions (1)
Abstract: We propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah (1989) functional for segmentation and level sets. Our model can detect objects whose boundaries are not necessarily defined by the gradient. We minimize an energy which can be seen as a particular case of the minimal partition problem. In the level set formulation, the problem becomes a "mean-curvature flow"-like evolving the active contour, which will stop on the desired boundary. However, the stopping term does not depend on the gradient of the image, as in the classical active contour models, but is instead related to a particular segmentation of the image. We give a numerical algorithm using finite differences. Finally, we present various experimental results and in particular some examples for which the classical snakes methods based on the gradient are not applicable. Also, the initial curve can be anywhere in the image, and interior contours are automatically detected.

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Topics: Active contour model (66%), Image segmentation (59%), Level set method (55%) ...read more

9,743 Citations


Proceedings ArticleDOI: 10.1109/ICCV.2017.322
20 Mar 2017-
Abstract: We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance. The method, called Mask R-CNN, extends Faster R-CNN by adding a branch for predicting an object mask in parallel with the existing branch for bounding box recognition. Mask R-CNN is simple to train and adds only a small overhead to Faster R-CNN, running at 5 fps. Moreover, Mask R-CNN is easy to generalize to other tasks, e.g., allowing us to estimate human poses in the same framework. We show top results in all three tracks of the COCO suite of challenges, including instance segmentation, bounding-box object detection, and person keypoint detection. Without tricks, Mask R-CNN outperforms all existing, single-model entries on every task, including the COCO 2016 challenge winners. We hope our simple and effective approach will serve as a solid baseline and help ease future research in instance-level recognition. Code will be made available.

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Topics: Object detection (55%), Image segmentation (54%), Minimum bounding box (53%) ...read more

9,492 Citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202268
20214,091
20204,398
20194,524
20184,115
20174,132

Top Attributes

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Topic's top 5 most impactful authors

Jayaram K. Udupa

100 papers, 4.2K citations

Dinggang Shen

84 papers, 3.7K citations

Licheng Jiao

73 papers, 1.1K citations

Scott T. Acton

69 papers, 1.4K citations

Alan L. Yuille

60 papers, 7.5K citations

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