8.4.1 Superpixel Region Extraction, Region Growing

Chapter Contents (Back)
Region Growing. Segmentation, Region Growing. Superpixel.

Perbet, F.[Frank], Stenger, B.[Bjorn], Maki, A.[Atsuto],
Homogeneous Superpixels from Markov Random Walks,
IEICE(E95-D), No. 7, July 2012, pp. 1740-1748.
WWW Link. 1208
BibRef

Achanta, R.[Radhakrishna], Shaji, A.[Appu], Smith, K.[Kevin], Lucchi, A.[Aurelien], Fua, P.[Pascal], Süsstrunk, S.[Sabine],
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods,
PAMI(34), No. 11, November 2012, pp. 2274-2282.
IEEE DOI 1209
Look at 4 methods or image boundary, speed, efficience, segmentation performance. SLIC: Simple linear iterative clustering. See also Are spatial and global constraints really necessary for segmentation?. BibRef

Achanta, R.[Radhakrishna], Süsstrunk, S.[Sabine],
Superpixels and Polygons Using Simple Non-iterative Clustering,
CVPR17(4895-4904)
IEEE DOI 1711
Clustering algorithms, Estimation, Image color analysis, Image segmentation, Iterative algorithms, Memory management, Partitioning, algorithms BibRef

Liu, B., Hu, H., Wang, H., Wang, K., Liu, X., Yu, W.,
Superpixel-Based Classification With an Adaptive Number of Classes for Polarimetric SAR Images,
GeoRS(51), No. 2, February 2013, pp. 907-924.
IEEE DOI 1302
BibRef

Liu, B., Zhang, Z., Liu, X., Yu, W.,
Representation and Spatially Adaptive Segmentation for PolSAR Images Based on Wedgelet Analysis,
GeoRS(53), No. 9, September 2015, pp. 4797-4809.
IEEE DOI 1506
Approximation methods BibRef

Tighe, J.[Joseph], Lazebnik, S.[Svetlana],
Superparsing,
IJCV(101), No. 2, January 2013, pp. 329-349.
WWW Link. 1302
BibRef
Earlier:
Understanding scenes on many levels,
ICCV11(335-342).
IEEE DOI 1201
BibRef
Earlier:
SuperParsing: Scalable Nonparametric Image Parsing with Superpixels,
ECCV10(V: 352-365).
Springer DOI 1009
Semantic labels in segmentation. Both basic level and detail level BibRef

Tighe, J.[Joseph], Lazebnik, S.[Svetlana],
Finding Things: Image Parsing with Regions and Per-Exemplar Detectors,
CVPR13(3001-3008)
IEEE DOI 1309
computer vision BibRef

Tighe, J.[Joseph], Niethammer, M.[Marc], Lazebnik, S.[Svetlana],
Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors,
IJCV(112), No. 2, April 2015, pp. 150-171.
Springer DOI 1504
BibRef
Earlier:
Scene Parsing with Object Instances and Occlusion Ordering,
CVPR14(3748-3755)
IEEE DOI 1409
BibRef

Wang, P.[Peng], Zeng, G.[Gang], Gan, R.[Rui], Wang, J.D.[Jing-Dong], Zha, H.B.[Hong-Bin],
Structure-Sensitive Superpixels via Geodesic Distance,
IJCV(103), No. 1, May 2013, pp. 1-21.
Springer DOI 1305
BibRef
Earlier: A2, A1, A4, A3, A5: ICCV11(447-454).
IEEE DOI 1201
BibRef

Liu, M.Y.[Ming-Yu], Tuzel, O.[Oncel], Ramalingam, S.[Srikumar], Chellappa, R.[Rama],
Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint,
PAMI(36), No. 1, 2014, pp. 99-112.
IEEE DOI 1312
BibRef
Earlier:
Entropy rate superpixel segmentation,
CVPR11(2097-2104).
IEEE DOI 1106
Clustering. BibRef

Vemulapalli, R., Tuzel, O.[Oncel], Liu, M.Y.[Ming-Yu],
Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising,
CVPR16(4801-4809)
IEEE DOI 1612
BibRef

Vemulapalli, R., Tuzel, O.[Oncel], Liu, M.Y.[Ming-Yu], Chellappa, R.,
Gaussian Conditional Random Field Network for Semantic Segmentation,
CVPR16(3224-3233)
IEEE DOI 1612
BibRef

Xu, L.F.[Lin-Feng], Zeng, L.Y.[Liao-Yuan], Wang, Z.N.[Zheng-Ning],
Saliency-based superpixels,
SIViP(8), No. 1, January 2014, pp. 181-190.
Springer DOI 1402
BibRef

Tian, Z.Q.[Zhi-Qiang], Zheng, N.N.[Nan-Ning], Xue, J.R.[Jian-Ru], Lan, X.G.[Xu-Guang], Li, C.[Ce], Zhou, G.[Gang],
Video object segmentation with shape cue based on spatiotemporal superpixel neighbourhood,
IET-CV(8), No. 1, February 2014, pp. 16-25.
DOI Link 1404
image segmentation BibRef

Xie, Y.R.[Yu-Rui], Xu, L.F.[Ling-Feng], Wang, Z.N.[Zheng-Ning],
Automated co-superpixel generation via graph matching,
SIViP(8), No. 4, May 2014, pp. 753-763.
WWW Link. 1404
BibRef

Shen, J.B.[Jian-Bing], Du, Y.F.[Yun-Fan], Wang, W.G.[Wen-Guan], Li, X.L.[Xue-Long],
Lazy Random Walks for Superpixel Segmentation,
IP(23), No. 4, April 2014, pp. 1451-1462.
IEEE DOI 1404
image segmentation BibRef

Peng, J.T.[Jian-Teng], Shen, J.B.[Jian-Bing], Li, X.L.[Xue-Long],
High-Order Energies for Stereo Segmentation,
Cyber(46), No. 7, July 2016, pp. 1616-1627.
IEEE DOI 1606
Computer vision BibRef

Dong, X.P.[Xing-Ping], Shen, J.B.[Jian-Bing], Shao, L., Van Gool, L.J.[Luc J.],
Sub-Markov Random Walk for Image Segmentation,
IP(25), No. 2, February 2016, pp. 516-527.
IEEE DOI 1601
BibRef
Earlier: A1, A2, A4, Only:
Segmentation Using SubMarkov Random Walk,
EMMCVPR15(237-248).
Springer DOI 1504
Algorithm design and analysis BibRef

Schick, A.[Alexander], Fischer, M.[Mika], Stiefelhagen, R.[Rainer],
An evaluation of the compactness of superpixels,
PRL(43), No. 1, 2014, pp. 71-80.
Elsevier DOI 1404
BibRef
Earlier:
Measuring and evaluating the compactness of superpixels,
ICPR12(930-934).
WWW Link. 1302
Award, ICPR. BibRef
Earlier: A1, A3, Only:
Evaluating image segments by applying the description length to sets of superpixels,
ITCVPR11(1394-1401).
IEEE DOI 1201
Superpixel segmentation BibRef

Fu, H., Cao, X., Tang, D., Han, Y., Xu, D.,
Regularity Preserved Superpixels and Supervoxels,
MultMed(16), No. 4, June 2014, pp. 1165-1175.
IEEE DOI 1407
Accuracy BibRef

Morerio, P., Georgiu, G.C., Marcenaro, L., Regazzoni, C.S.,
Optimizing Superpixel Clustering for Real-Time Egocentric-Vision Applications,
SPLetters(22), No. 4, April 2015, pp. 469-473.
IEEE DOI 1411
belief networks BibRef

Fan, Q.A.[Qi-Ang], Qi, C.[Chun],
Two-stage salient region detection by exploiting multiple priors,
JVCIR(25), No. 8, 2014, pp. 1823-1834.
Elsevier DOI 1411
Superpixel isolation BibRef

Zhu, L.[Lei], Klein, D.A., Frintrop, S., Cao, Z.G.[Zhi-Guo], Cremers, A.B.,
A Multisize Superpixel Approach for Salient Object Detection Based on Multivariate Normal Distribution Estimation,
IP(23), No. 12, December 2014, pp. 5094-5107.
IEEE DOI 1412
normal distribution BibRef

Buyssens, P.[Pierre], Gardin, I.[Isabelle], Ruan, S.[Su], El Moataz, A.[Abderrahim],
Eikonal-based region growing for efficient clustering,
IVC(32), No. 12, 2014, pp. 1045-1054.
Elsevier DOI 1412
Superpixels BibRef

Buyssens, P.[Pierre], Lezoray, O.[Olivier],
Multivalued label diffusion for semi-supervised segmentation,
ICIP15(3275-3279)
IEEE DOI 1512
Diffusion BibRef

Buyssens, P., Toutain, M., El Moataz, A., Lezoray, O.,
Eikonal-based vertices growing and iterative seeding for efficient graph-based segmentation,
ICIP14(4368-4372)
IEEE DOI 1502
Clustering algorithms BibRef

Tian, X.L.[Xiao-Lin], Jiao, L.C.[Li-Cheng], Yi, L.[Long], Guo, K.[Kaiwu], Zhang, X.H.[Xiao-Hua],
The image segmentation based on optimized spatial feature of superpixel,
JVCIR(26), No. 1, 2015, pp. 146-160.
Elsevier DOI 1502
Image segmentation BibRef

Tian, X.L.[Xiao-Lin], Jiao, L.C.[Li-Cheng], Zheng, X.L.[Xiao-Li], Zhang, X.H.[Xiao-Hua],
Inter-frame constrained coding based on superpixel for tracking,
VC(31), No. 5, May 2015, pp. 701-715.
WWW Link. 1505
BibRef

Van den Bergh, M.[Michael], Boix, X.[Xavier], Roig, G.[Gemma], Van Gool, L.J.[Luc J.],
SEEDS: Superpixels Extracted Via Energy-Driven Sampling,
IJCV(111), No. 3, February 2015, pp. 298-314.
Springer DOI 1503
BibRef
Earlier: Insert A4: de Capitani, B.[Benjamin], ECCV12(VII: 13-26).
Springer DOI 1210
BibRef

van den Bergh, M.[Michael], Roig, G.[Gemma], Boix, X.[Xavier], Manen, S.[Santiago], Van Gool, L.J.[Luc J.],
Online Video SEEDS for Temporal Window Objectness,
ICCV13(377-384)
IEEE DOI 1403
Super pixels. BibRef

Tasli, H.E.[H. Emrah], Cigla, C.[Cevahir], Alatan, A.A.[A. Aydin],
Convexity constrained efficient superpixel and supervoxel extraction,
SP:IC(33), No. 1, 2015, pp. 71-85.
Elsevier DOI 1504
Superpixel BibRef

Machairas, V., Faessel, M., Cardenas-Pena, D., Chabardes, T., Walter, T., Decenciere, E.,
Waterpixels,
IP(24), No. 11, November 2015, pp. 3707-3716.
IEEE DOI 1509
BibRef
Earlier: A1, A6, A5, Only:
Waterpixels: Superpixels based on the watershed transformation,
ICIP14(4343-4347)
IEEE DOI 1502
image segmentation. Art BibRef

Tasli, H.E.[H. Emrah], Sicre, R.[Ronan], Gevers, T.[Theo],
SuperPixel based mid-level image description for image recognition,
JVCIR(33), No. 1, 2015, pp. 301-308.
Elsevier DOI 1512
BibRef
Earlier: A2, A1, A3:
SuperPixel Based Angular Differences as a Mid-level Image Descriptor,
ICPR14(3732-3737)
IEEE DOI 1412
Color BibRef

Sicre, R.[Ronan], Jurie, F.[Frédéric],
Discriminative part model for visual recognition,
CVIU(141), No. 1, 2015, pp. 28-37.
Elsevier DOI 1512
BibRef
Earlier:
Discovering and Aligning Discriminative Mid-level Features for Image Classification,
ICPR14(1975-1980)
IEEE DOI 1412
Boats BibRef

Saranathan, A.M., Parente, M.,
Uniformity-Based Superpixel Segmentation of Hyperspectral Images,
GeoRS(54), No. 3, March 2016, pp. 1419-1430.
IEEE DOI 1603
Approximation methods BibRef

Wang, X.[Xiang], Ma, H.M.[Hui-Min], Chen, X.Z.[Xiao-Zhi],
Geodesic weighted Bayesian model for saliency optimization,
PRL(75), No. 1, 2016, pp. 1-8.
Elsevier DOI 1604
BibRef
And:
Salient object detection via fast R-CNN and low-level cues,
ICIP16(1042-1046)
IEEE DOI 1610
BibRef
Earlier:
Geodesic weighted Bayesian model for salient object detection,
ICIP15(397-401)
IEEE DOI 1512
Bayesian framework; Salient object detection; geodesic weight; superpixel BibRef

Wang, X.[Xiang], Ma, H.M.[Hui-Min], Chen, X.Z.[Xiao-Zhi], You, S.,
Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection,
IP(27), No. 1, January 2018, pp. 121-134.
IEEE DOI 1712
edge detection, image colour analysis, neural nets, object detection, CNN based methods, RGB-D saliency detection, object mask BibRef

Choi, K.S.[Kang-Sun], Oh, K.W.[Ki-Won],
Subsampling-based acceleration of simple linear iterative clustering for superpixel segmentation,
CVIU(146), No. 1, 2016, pp. 1-8.
Elsevier DOI 1604
Superpixels BibRef

Peng, J., Shen, J., Yao, A., Li, X.,
Superpixel Optimization Using Higher Order Energy,
CirSysVideo(26), No. 5, May 2016, pp. 917-927.
IEEE DOI 1605
Clustering algorithms BibRef

Shen, J., Hao, X., Liang, Z., Liu, Y., Wang, W., Shao, L.,
Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm,
IP(25), No. 12, December 2016, pp. 5933-5942.
IEEE DOI 1612
distance measurement BibRef

Zhang, Y.X.[Yong-Xia], Ma, L.[Long], Zhou, Y.F.[Yuan-Feng], Zhang, C.M.[Cai-Ming],
Automatic superpixel generation algorithm based on a quadric error metric in 3D space,
SIViP(11), No. 3, March 2017, pp. 471-478.
Springer DOI 1702
BibRef

Csillik, O.[Ovidiu],
Fast Segmentation and Classification of Very High Resolution Remote Sensing Data Using SLIC Superpixels,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Wang, M.[Murong], Liu, X.B.[Xia-Bi], Gao, Y.[Yixuan], Ma, X.[Xiao], Soomro, N.Q.[Nouman Q.],
Superpixel segmentation: A benchmark,
SP:IC(56), No. 1, 2017, pp. 28-39.
Elsevier DOI 1706
Survey, Superpixel Segmentation. Superpixel BibRef

Zhang, Y., Li, X., Gao, X., Zhang, C.,
A Simple Algorithm of Superpixel Segmentation With Boundary Constraint,
CirSysVideo(27), No. 7, July 2017, pp. 1502-1514.
IEEE DOI 1707
Algorithm design and analysis, Clustering algorithms, Complexity theory, Distance measurement, Image edge detection, Image segmentation, Shape, Image preprocessing, image segmentation, oversegmentation, superpixel BibRef

Guo, Y., Jia, X., Paull, D.,
Superpixel-Based Adaptive Kernel Selection for Angular Effect Normalization of Remote Sensing Images With Kernel Learning,
GeoRS(55), No. 8, August 2017, pp. 4262-4271.
IEEE DOI 1708
Dictionaries, Image segmentation, Kernel, Land surface, Remote sensing, Satellites, Scattering, Adaptive kernel selection, bidirectional reflectance, image normalization, kernel, learning BibRef

Jin, X., Gu, Y.,
Superpixel-Based Intrinsic Image Decomposition of Hyperspectral Images,
GeoRS(55), No. 8, August 2017, pp. 4285-4295.
IEEE DOI 1708
Feature extraction, Hyperspectral imaging, Image segmentation, Lighting, Mathematical model, Matrix decomposition, Hyperspectral image, intrinsic image decomposition (IID), optimization, superpixel BibRef

Zhang, Q.A.[Qi-Ang], Liu, Y.[Yi], Zhu, S.[Siyang], Han, J.G.[Jun-Gong],
Salient object detection based on super-pixel clustering and unified low-rank representation,
CVIU(161), No. 1, 2017, pp. 51-64.
Elsevier DOI 1708
Salient object detection. BibRef

Wang, X.Y.[Xuan-Yin], Wu, C.W.[Chang-Wei], Xiang, K.[Ke], Chen, W.[Wen],
Efficient local and global contour detection based on superpixels,
JVCIR(48), No. 1, 2017, pp. 77-87.
Elsevier DOI 1708
Contour detection BibRef

Yang, J.F.[Jin-Fu], Wang, Y.[Ying], Wang, G.H.[Guang-Hui], Li, M.G.[Min-Gai],
Salient object detection based on global multi-scale superpixel contrast,
IET-CV(11), No. 8, December 2017, pp. 710-716.
DOI Link 1712
BibRef

Wu, S., Nakao, M., Matsuda, T.,
SuperCut: Superpixel Based Foreground Extraction With Loose Bounding Boxes in One Cutting,
SPLetters(24), No. 12, December 2017, pp. 1803-1807.
IEEE DOI 1712
Haar transforms, feature extraction, image segmentation, interactive systems, wavelet transforms, Haar-wavelet feature, interactive image segmentation BibRef

Zhou, Y., Pan, X., Wang, W., Yin, Y., Zhang, C.,
Superpixels by Bilateral Geodesic Distance,
CirSysVideo(27), No. 11, November 2017, pp. 2281-2293.
IEEE DOI 1712
Clustering algorithms, Computer science, Image color analysis, Image segmentation, Level measurement, superpixel BibRef

Linares, O.A.C.[Oscar A.C.], Botelho, G.M.[Glenda Michele], Rodrigues, F.A.[Francisco Aparecido], Neto, J.B.[João Batista],
Segmentation of large images based on super-pixels and community detection in graphs,
IET-IPR(11), No. 12, Decmeber 2017, pp. 1219-1228.
DOI Link 1712
BibRef


Wilms, C.[Christian], Frintrop, S.[Simone],
Edge Adaptive Seeding for Superpixel Segmentation,
GCPR17(333-344).
Springer DOI 1711
BibRef

Yeo, D., Son, J., Han, B., Han, J.H.,
Superpixel-Based Tracking-by-Segmentation Using Markov Chains,
CVPR17(511-520)
IEEE DOI 1711
Absorption, Image segmentation, Markov processes, Support vector machines, Target tracking, Transient, analysis BibRef

Zhu, H., Zhang, Q., Wang, Q.,
4D Light Field Superpixel and Segmentation,
CVPR17(6709-6717)
IEEE DOI 1711
Image color analysis, Image segmentation, Imaging, Lenses, Measurement, BibRef

Lo, C.K., Chang, L.W.,
Unsupervised image segmentation using defocus map and superpixel grouping,
MVA17(141-144)
DOI Link 1708
Computer science, Estimation, Image color analysis, Image edge detection, Image segmentation, Organizations, Silicon BibRef

Wang, X., Zhou, Y.[Yun], Ning, C.,
An improved superpixel-based saliency detection method,
ICIVC17(710-714)
IEEE DOI 1708
Bayes methods, Iterative methods, Sun, center-surrounding, normalized cut, saliency detection, sparse representation, superpixel BibRef

Mikesell, D.[Derek], Hicks, I.V.[Illya V.],
Image Segmentation via Weighted Carving Decompositions,
IWCIA17(268-279).
Springer DOI 1706
BibRef

Huang, C.R.[Chun-Rong], Wang, W.A., Lin, S.Y.[Szu-Yu], Lin, Y.Y.[Yen-Yu],
USEQ: Ultra-fast superpixel extraction via quantization,
ICPR16(1965-1970)
IEEE DOI 1705
Computational efficiency, Estimation, Image color analysis, Image segmentation, Iterative methods, Optimization, Quantization (signal), image segmentation, superpixel BibRef

Giraud, R., Ta, V.T.[Vinh-Thong], Papadakis, N.,
SCALP: Superpixels with Contour Adherence using Linear Path,
ICPR16(2374-2379)
IEEE DOI 1705
Clustering algorithms, Image color analysis, Image segmentation, Measurement, Scalp, Shape, Standards BibRef

Rubio, A., Yu, L.L.[Long-Long], Simo-Serra, E., Moreno-Noguer, F.,
BASS: Boundary-Aware Superpixel Segmentation,
ICPR16(2824-2829)
IEEE DOI 1705
Clustering algorithms, Image color analysis, Image edge detection, Image segmentation, Measurement, Standards BibRef

Agoes, A.S.[Ali Suryaperdana], Hu, Z.C.[Zhen-Cheng], Matsunaga, N.[Nobutomo],
DSLIC: A Superpixel Based Segmentation Algorithm for Depth Image,
3DModelApp16(II: 77-87).
Springer DOI 1704
BibRef

Liu, Y.[Yuan], Lai, S.Q.[Shang-Qi], Du, T.Y.[Tian-Yi], Yu, Y.Z.[Yi-Zhou],
Hybrid superpixel segmentation,
ICVNZ15(1-6)
IEEE DOI 1701
greedy algorithms BibRef

Gu, X., Jeremiah, D., Martin, K.,
A hierarchical segmentation tree for superpixel-based image segmentation,
ICVNZ16(1-6)
IEEE DOI 1701
Bipartite graph BibRef

Forsythe, J.[Jeremy], Kurlin, V.[Vitaliy], Fitzgibbon, A.[Andrew],
Resolution-Independent Superpixels Based on Convex Constrained Meshes Without Small Angles,
ISVC16(I: 223-233).
Springer DOI 1701
BibRef

Li, R.[Rui], Fang, L.[Lu],
Cluster Sensing Superpixel and Grouping,
Microscopy16(1350-1358)
IEEE DOI 1612
BibRef

Liu, Y.J., Yu, C.C., Yu, M.J., He, Y.,
Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels,
CVPR16(651-659)
IEEE DOI 1612
BibRef

Sheikh, R.[Rasha], Garbade, M.[Martin], Gall, J.[Juergen],
Real-Time Semantic Segmentation with Label Propagation,
CVRoads16(II: 3-14).
Springer DOI 1611
BibRef

Ahmed, Q.A.[Qazi Aitezaz], Akhtar, M.[Mahmood],
Runtime Performance Enhancement of a Superpixel Based Saliency Detection Model,
ICIAR16(120-130).
Springer DOI 1608
BibRef

Ates, H.F.[Hasan F.], Sunetci, S.[Sercan],
Improving Semantic Segmentation with Generalized Models of Local Context,
CAIP17(II: 320-330).
Springer DOI 1708
BibRef

Ates, H.F.[Hasan F.], Sunetci, S.[Sercan], Ak, K.E.[Kenan E.],
Kernel Likelihood Estimation for Superpixel Image Parsing,
ICIAR16(234-242).
Springer DOI 1608
BibRef

Siva, P.[Parthipan], Scharfenberger, C.[Christian], Ben Daya, I.[Ibrahim], Mishra, A.[Akshaya], Wong, A.[Alexander],
Return of grid seams: A superpixel algorithm using discontinuous multi-functional energy seam carving,
ICIP15(1334-1338)
IEEE DOI 1512
Discontinuous; Multi-functional; Seam Carving; Superpixels BibRef

Freifeld, O.[Oren], Li, Y.X.[Yi-Xin], Fisher, J.W.[John W.],
A fast method for inferring high-quality simply-connected superpixels,
ICIP15(2184-2188)
IEEE DOI 1512
Superpixel BibRef

Xu, X.[Xin], Mu, N.[Nan], Zhang, H.[Hong], Fu, X.W.[Xiao-Wei],
Salient object detection from distinctive features in low contrast images,
ICIP15(3126-3130)
IEEE DOI 1512
low contrast image; saliency map; salient object detection; superpixel BibRef

Jia, S.[Shaoyong], Geng, S.J.[Shi-Jie], Gu, Y.[Yun], Yang, J.[Jie], Shi, P.F.[Peng-Fei], Qiao, Y.[Yu],
NSLIC: SLIC superpixels based on nonstationarity measure,
ICIP15(4738-4742)
IEEE DOI 1512
nSLIC; nonstationarity measure; super-pixel BibRef

Ince, K.G.[Kutalmis Gokalp], Cigla, C.[Cevahir], Alatan, A.A.[A. Aydin],
LASP: Local adaptive super-pixels,
ICIP15(4092-4096)
IEEE DOI 1512
Over segmentation; clustering; super pixel BibRef

Verdoja, F.[Francesco], Grangetto, M.[Marco],
Fast Superpixel-Based Hierarchical Approach to Image Segmentation,
CIAP15(I:364-374).
Springer DOI 1511
BibRef

Picciau, G.[Giulia], Simari, P.[Patricio], Iuricich, F.[Federico], De Floriani, L.[Leila],
Supertetras: A Superpixel Analog for Tetrahedral Mesh Oversegmentation,
CIAP15(I:375-386).
Springer DOI 1511
BibRef

Stutz, D.[David],
Superpixel Segmentation: An Evaluation,
GCPR15(555-562).
Springer DOI 1511
BibRef

Sullivan, K.[Keith], Lawson, W.[Wallace], Sofge, D.[Donald],
Improving superpixel boundaries using information beyond the visual spectrum,
PBVS15(105-112)
IEEE DOI 1510
Clustering algorithms BibRef

Li, Z.Q.[Zheng-Qin], Chen, J.S.[Jian-Sheng],
Superpixel segmentation using Linear Spectral Clustering,
CVPR15(1356-1363)
IEEE DOI 1510
BibRef

Giordano, D.[Daniela], Murabito, F.[Francesca], Palazzo, S.[Simone], Spampinato, C.[Concetto],
Superpixel-based video object segmentation using perceptual organization and location prior,
CVPR15(4814-4822)
IEEE DOI 1510
BibRef

Yan, J.J.[Jun-Jie], Yu, Y.N.[Yi-Nan], Zhu, X.Y.[Xiang-Yu], Lei, Z.[Zhen], Li, S.Z.[Stan Z.],
Object detection by labeling superpixels,
CVPR15(5107-5116)
IEEE DOI 1510
BibRef

Fu, P.[Peng], Li, C.Y.[Chang-Yang], Sun, Q.S.[Quan-Sen], Cai, W.D.[Wei-Dong], Feng, D.D.[David Dagan],
Image noise level estimation based on a new adaptive superpixel classification,
ICIP14(2649-2653)
IEEE DOI 1502
Clustering algorithms BibRef

Pei, S.C.[Soo-Chang], Chang, W.W.[Wen-Wen], Shen, C.T.[Chih-Tsung],
Saliency detection using superpixel belief propagation,
ICIP14(1135-1139)
IEEE DOI 1502
Adaptation models BibRef

Jia, S.X.[Shi-Xiang], Zhang, C.M.[Cai-Ming],
Fast and robust image segmentation using an superpixel based FCM algorithm,
ICIP14(947-951)
IEEE DOI 1502
Classification algorithms BibRef

Gu, X.B.[Xian-Bin], Deng, J.D.[Jeremiah D.], Purvis, M.K.[Martin K.],
Improving superpixel-based image segmentation by incorporating color covariance matrix manifolds,
ICIP14(4403-4406)
IEEE DOI 1502
Bipartite graph BibRef

Pan, X.[Xiao], Zhou, Y.F.[Yuan-Feng], Zhang, C.M.[Cai-Ming], Liu, Q.[Qian],
Flooding based superpixels generation with color, compactness and smoothness constraints,
ICIP14(4432-4436)
IEEE DOI 1502
Clustering algorithms BibRef

Neubert, P.[Peer], Protzel, P.[Peter],
Compact Watershed and Preemptive SLIC: On Improving Trade-offs of Superpixel Segmentation Algorithms,
ICPR14(996-1001)
IEEE DOI 1412
Adaptive optics BibRef

Massoudifar, P.[Pegah], Rangarajan, A.[Anand], Gader, P.[Paul],
Superpixel Estimation for Hyperspectral Imagery,
PBVS14(287-292)
IEEE DOI 1409
BibRef

Gould, S.[Stephen], Zhao, J.C.[Jie-Cheng], He, X.M.[Xu-Ming], Zhang, Y.H.[Yu-Hang],
Superpixel Graph Label Transfer with Learned Distance Metric,
ECCV14(I: 632-647).
Springer DOI 1408
fast approximate nearest neighbor algorithm for semantic segmentation BibRef

Yang, M.Y.,
Image Segmentation by Bilayer Superpixel Grouping,
ACPR13(552-556)
IEEE DOI 1408
computer vision BibRef

Siva, P.[Parthipan], Wong, A.[Alexander],
Grid Seams: A Fast Superpixel Algorithm for Real-Time Applications,
CRV14(127-134)
IEEE DOI 1406
Accuracy BibRef

Zhu, G.[Gao], Ming, Y.S.[Yan-Sheng], Li, H.D.[Hong-Dong],
Object Cut as Minimum Ratio Cycle in a Superpixel Boundary Graph,
DICTA13(1-6)
IEEE DOI 1402
graph theory BibRef

Pham, T.Q.,
Parallel Implementation of Geodesic Distance Transform with Application in Superpixel Segmentation,
DICTA13(1-8)
IEEE DOI 1402
application program interfaces BibRef

Reso, M.[Matthias], Jachalsky, J.[Jorn], Rosenhahn, B.[Bodo], Ostermann, J.[Jorn],
Temporally Consistent Superpixels,
ICCV13(385-392)
IEEE DOI 1403
over-segmentation; superpixel; supervoxel; tracking; video segmentation BibRef

Wang, X.F.[Xiao-Fang], Li, H.B.[Hui-Bin], Bichot, C.E.[Charles-Edmond], Masnou, S.[Simon], Chen, L.M.[Li-Ming],
A graph-cut approach to image segmentation using an affinity graph based on L0-sparse representation of features,
ICIP13(4019-4023)
IEEE DOI 1402
l0 affinity graph BibRef

Wang, X.F.[Xiao-Fang], Zhu, C.[Chao], Bichot, C.E.[Charles-Edmond], Masnou, S.[Simon],
Graph-based image segmentation using weighted color patch,
ICIP13(4064-4068)
IEEE DOI 1402
Image segmentation; affinity graph; normalized cuts; weighted color patch BibRef

Wang, X.F.[Xiao-Fang], Li, H.B.[Hui-Bin], Masnou, S.[Simon],
Sparse Coding and Mid-Level Superpixel-Feature for l0-Graph Based Unsupervised Image Segmentation,
CAIP13(II:160-168).
Springer DOI 1311
BibRef

Li, L.[Liang], Feng, W.[Wei], Wan, L.[Liang], Zhang, J.W.[Jia-Wan],
Maximum Cohesive Grid of Superpixels for Fast Object Localization,
CVPR13(3174-3181)
IEEE DOI 1309
Maximum grid of superpixels; dynamic programming; object localization BibRef

Shu, G.[Guang], Dehghan, A.[Afshin], Shah, M.[Mubarak],
Improving an Object Detector and Extracting Regions Using Superpixels,
CVPR13(3721-3727)
IEEE DOI 1309
BibRef

Liu, H.[Han], Qu, Y.[Yanyun], Wu, Y.[Yang], Wang, H.Z.[Han-Zi],
Class-Specified Segmentation with Multi-scale Superpixels,
CompPhot12(I:158-169).
Springer DOI 1304
BibRef

Li, Z.G.[Zhen-Guo], Wu, X.M.[Xiao-Ming], Chang, S.F.[Shih-Fu],
Segmentation using superpixels: A bipartite graph partitioning approach,
CVPR12(789-796).
IEEE DOI 1208
BibRef

Zhang, Y.H.[Yu-Hang], Hartley, R.I.[Richard I.], Mashford, J.[John], Burn, S.[Stewart],
Superpixels, Occlusion and Stereo,
DICTA11(84-91).
IEEE DOI 1205
BibRef
And:
Superpixels via pseudo-Boolean optimization,
ICCV11(1387-1394).
IEEE DOI 1201
BibRef

Lowe, R.J.[Richard J.], Nixon, M.S.[Mark S.],
Evolving Content-Driven Superpixels for Accurate Image Representation,
ISVC11(I: 192-201).
Springer DOI 1109
BibRef

Engel, D.[David], Spinello, L.[Luciano], Triebel, R.[Rudolph], Siegwart, R.[Roland], Bülthoff, H.H.[Heinrich H.], Curio, C.[Cristóbal],
Medial Features for Superpixel Segmentation,
MVA09(248-).
PDF File. 0905
BibRef

Veksler, O.[Olga], Boykov, Y.Y.[Yuri Y.], Mehrani, P.[Paria],
Superpixels and Supervoxels in an Energy Optimization Framework,
ECCV10(V: 211-224).
Springer DOI 1009
BibRef

Yuan, Y.[Yuan], Ma, L.H.[Li-Hong], Lu, H.Q.[Han-Qing],
Image Segmentation Based on Supernodes and Region Size Estimation,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Warrell, J.[Jonathan], Moore, A.P.[Alastair P.], Prince, S.J.D.[Simon J.D.],
Vistas: Hierarchial boundary priors using multiscale conditional random fields,
BMVC09(xx-yy).
PDF File. 0909
BibRef

Moore, A.P.[Alastair P.], Prince, S.J.D.[Simon J.D.], Warrell, J.[Jonathan], Mohammed, U.[Umar], Jones, G.[Graham],
Scene shape priors for superpixel segmentation,
ICCV09(771-778).
IEEE DOI 0909
BibRef
Earlier:
Superpixel lattices,
CVPR08(1-8).
IEEE DOI 0806
Oversegmentation. BibRef

Hanbury, A.[Allan],
How Do Superpixels Affect Image Segmentation?,
CIARP08(178-186).
Springer DOI 0809
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Watershed Algorithms, Watershed Segmentation .


Last update:Dec 7, 2017 at 17:23:10