Sklansky, J.,
Recognition of Convex Blobs,
PR(2), No. 1, January 1970, pp. 3-10.
Elsevier DOI
BibRef
7001
Earlier:
TRUCI TR-69-3, July 1969.
Blob Extraction.
See also Parallel Detection of Concavities in Cellular Blobs.
See also Minimal Rectangular Partitions of Digitized Blobs.
BibRef
Minor, L.G.,
Sklansky, J.,
The Detection and Segmentation of Blobs in Infrared Images,
SMC(11), 1981, pp. 194-201.
BibRef
8100
Earlier:
PRIP81(464-469).
Segmentation, Blobs.
See also Recognition of Convex Blobs.
BibRef
Rosenberg, B.,
The Analysis of Convex Blobs,
CGIP(1), No. 2, August 1972, pp. 183-192.
Elsevier DOI
BibRef
7208
Cooper, D.B.,
Maximum Likelihood Estimation of Markov-Process Blob Boundaries
in Noisy Images,
PAMI(1), No. 4, October 1979, 372-384.
Blob Extraction.
Segmentation, Blobs.
BibRef
7910
Danker, A.J.,
Rosenfeld, A.,
Blob Detection by Relaxation,
PAMI(3), No. 1, January 1981, pp. 79-92.
BibRef
8101
And:
A2, A1 plus A3:
Dyer, C.R.[Charles R.],
Blob Extraction by Relaxation,
DARPA79(61-65).
BibRef
Hong, T.H.,
Rosenfeld, A.,
Compact Region Extraction Using Weighted Pixel Linking in a Pyramid,
PAMI(6), No. 2, March 1984, pp. 222-229.
BibRef
8403
Earlier:
Unforced Image Partitioning by Weighted Pyramid Linking,
DARPA82(72-78).
See also Segmentation and Estimation of Image Region Properties Through Cooperative Hierarchical Computation.
BibRef
Hong, T.H.,
Shneier, M.O.,
Extracting Compact Objects Using Linked Pyramids,
PAMI(6), No. 2, March 1984, pp. 229-236.
BibRef
8403
Earlier:
DARPA82(58-71).
See also Segmentation and Estimation of Image Region Properties Through Cooperative Hierarchical Computation.
BibRef
Shneier, M.O.,
Using Pyramids to Define Local Thresholds for Blob Detection,
PAMI(5), No. 3, May 1983, pp. 345-349.
BibRef
8305
Earlier:
DARPAN79(31-35).
Blob Extraction.
Segmentation, Blobs.
BibRef
Sher, C.A.[C. Allen],
Rosenfeld, A.[Azriel],
Detecting and Extracting Compact Textured Regions Using Pyramids,
IVC(7), No. 2, May 1989, pp. 129-134.
Elsevier DOI
Blob Extraction.
Segmentation, Blobs.
BibRef
8905
Rosenfeld, A.[Azriel],
Sher, C.A.[C. Allen],
Detection and Delineation of Compact Objects Using Intensity Pyramids,
PR(21), No. 2, 1988, pp. 147-151.
Elsevier DOI
BibRef
8800
Rewo, L.[Ludomir],
Enhancement and Detection of Convex Objects Using Regression Models,
CVGIP(25), No. 2, February 1984, pp. 257-269.
Elsevier DOI
Blob Extraction. Blob detection.
BibRef
8402
Blostein, D.[Dorothea],
Ahuja, N.[Narendra],
A Multi-scale Region Detector,
CVGIP(45), No. 1, January 1989, pp. 22-41.
Elsevier DOI
Blob Extraction.
Segmentation, Blobs.
Textures, Structural.
This is not really texture segmentation, but segmentation of
texture elements. The standard Laplacian of Gaussian is applied and
homogeneous regions are found which are composed of areas most
easily represented as disks. Some analysis of the LoG is done to
derive a means to find the disks. Different sizes are used to get
different size disks.
BibRef
8901
Lee, K.M.[Kyoung-Mi],
Street, W.N.[W. Nick],
Model-based detection, segmentation, and classification for image
analysis using on-line shape learning,
MVA(13), No. 4, 2003, pp. 222-233.
WWW Link.
0304
BibRef
Lee, K.M.[Kyoung-Mi],
Street, W.N.[W. Nick],
Automatic Image Segmentation and Classification Using On-line Shape
Learning,
WACV00(64-70).
IEEE DOI
0010
Finding blobs.
BibRef
Damerval, C.[Christophe],
Meignen, S.[Sylvain],
Blob Detection With Wavelet Maxima Lines,
SPLetters(14), No. 1, January 2007, pp. 39-42.
IEEE DOI
0701
BibRef
Damerval, C.[Christophe],
Meignen, S.[Sylvain],
Study of a Robust Feature: The Pointwise Lipschitz Regularity,
IJCV(88), No. 3, July 2010, pp. xx-yy.
Springer DOI
1003
BibRef
Earlier:
Highlight on a Feature Extracted at Fine Scales:
The Pointwise Lipschitz Regularity,
SSVM09(782-794).
Springer DOI
0906
BibRef
Ferraz, L.[Luis],
Binefa, X.[Xavier],
A sparse curvature-based detector of affine invariant blobs,
CVIU(116), No. 4, April 2012, pp. 524-537.
Elsevier DOI
1202
BibRef
Earlier:
A Scale Invariant Interest Point Detector for Discriminative Blob
Detection,
IbPRIA09(233-240).
Springer DOI
0906
Interest points; Scale invariant detector; Affine invariant detector;
Gaussian curvature; Gaussian fitting; Blob evolution
BibRef
Lakemond, R.[Ruan],
Sridharan, S.[Sridha],
Fookes, C.[Clinton],
Hessian-Based Affine Adaptation of Salient Local Image Features,
JMIV(44), No. 2, October 2012, pp. 150-167.
WWW Link.
1206
BibRef
Earlier: A1, A3, A2:
Affine Adaptation of Local Image Features Using the Hessian Matrix,
AVSBS09(496-501).
IEEE DOI
0909
Blob detectors and corner features.
See also Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition.
BibRef
Lakemond, R.[Ruan],
Fookes, C.[Clinton],
Sridharan, S.[Sridha],
Negative Determinant of Hessian Features,
DICTA11(530-535).
IEEE DOI
1205
BibRef
Umakanthan, S.,
Denman, S.,
Sridharan, S.,
Fookes, C.,
Wark, T.,
Spatio Temporal Feature Evaluation for Action Recognition,
DICTA12(1-8).
IEEE DOI
1303
BibRef
Vidas, S.,
Lakemond, R.[Ruan],
Denman, S.,
Fookes, C.[Clinton],
Sridharan, S.[Sridha],
Wark, T.J.,
An Exploration of Feature Detector Performance in the Thermal-Infrared
Modality,
DICTA11(217-224).
IEEE DOI
1205
BibRef
Khan, M.A.U.[Mohammad A.U.],
Khan, T.M.[Tariq M.],
Bailey, D.G.[Donald G.],
Kittaneh, O.[Omar],
Deriving scale normalisation factors for a GLoG detector,
IET-IPR(12), No. 9, September 2018, pp. 1673-1682.
DOI Link
1809
Generalised LoG (GLoG) detector for non-circular blobs.
BibRef
Tong, W.Q.[Wei-Qing],
Li, H.S.[Hai-Sheng],
Chen, G.Y.[Guo-Yue],
Blob Detection Based on Soft Morphological Filter,
IEICE(E103-D), No. 1, January 2020, pp. 152-162.
WWW Link.
2001
BibRef
Liu, J.[Jiamin],
White, J.M.[Jacob M.],
Summers, R.M.[Ronald M.],
Automated detection of blob structures by Hessian analysis and object
scale,
ICIP10(841-844).
IEEE DOI
1009
BibRef
Ming, A.[Anlong],
Ma, H.[Huadong],
A blob detector in color images,
CIVR07(364-370).
DOI Link
0707
BibRef
Liu, H.R.[Hai-Rong],
Yan, S.C.[Shui-Cheng],
Efficient structure detection via random consensus graph,
CVPR12(574-581).
IEEE DOI
1208
BibRef
And:
Common visual pattern discovery via spatially coherent correspondences,
CVPR10(1609-1616).
IEEE DOI Video of talk:
WWW Link.
1006
local features and spatial arrangements
Not simple blobs, but more complex structures.
BibRef
Nguyen, T.B.[Thanh Binh],
Chung, S.T.[Sun Tae],
An Improved Real-Time Blob Detection for Visual Surveillance,
CISP09(1-5).
IEEE DOI
0910
BibRef
Kumar, P.[Praveen],
Palaniappan, K.[Kannappan],
Mittal, A.[Ankush],
Seetharaman, G.[Guna],
Parallel Blob Extraction Using the Multi-core Cell Processor,
ACIVS09(320-332).
Springer DOI
0909
BibRef
Donoser, M.,
Bischof, H.,
Wiltsche, M.,
Color Blob Segmentation by MSER Analysis,
ICIP06(757-760).
IEEE DOI
0610
BibRef
Dupac, J.[Jan],
Hlavác, V.[Václav],
Stable Wave Detector of Blobs in Images,
DAGM06(760-769).
Springer DOI
0610
BibRef
Xu, Q.[Qi],
Chen, Y.Q.[Yan Qiu],
Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale
Invariant Texture Classification,
ICPR06(IV: 29-32).
IEEE DOI
0609
BibRef
Forssén, P.E.[Per-Erik],
Granlund, G.H.[Gösta H.],
Robust Multi-scale Extraction of Blob Features,
SCIA03(11-18).
Springer DOI
0310
BibRef
Sossa Azuela, J.H.,
Guzmán Lugo, G.,
Sotelo Rangel, R.,
Counting the Number of Blobs in an Image,
ICIP01(I: 1086-1089).
IEEE DOI
0108
BibRef
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Spot Detection, Bright Spots .