8.10.1 Color Segmentation, Healey

Chapter Contents (Back)
Color Segmentation. Segmentation, Color.

Healey, G.,
Color Discrimination by Computer,
SMC(19), No. 6, Nov/Dec 1989, pp. 1613-1617. See also Global Color Constancy: Recognition of Objects by Use of Illumination-Invariant Properties of Color Distributions. BibRef 8911

Vriesenga, M., Healey, G., Peleg, K., and Sklansky, J.,
Controlling Illumination color to Enhance Object Discriminability,
CVPR92(710-712).
IEEE DOI BibRef 9200

Healey, G.,
Using Color for Geometry-Insensitive Segmentation,
JOSA-A(6), No. 6, June 1989, pp. 920-937.
HTML Version. Uses properties like highlights to derive the geometry for a constant color curved sruface. BibRef 8906

Healey, G.,
Segmenting Images Using Normalized Color,
SMC(22), No. 1, January 1992, pp. 64-73.
HTML Version. A combination of several of the other conference papers. BibRef 9201

Jain, A.[Amit], Healey, G.,
A Multiscale Representation Including Opponent-Color Features for Texture Recognition,
IP(7), No. 1, January 1998, pp. 124-128.
IEEE DOI 9801
BibRef
Earlier:
Evaluating Multiscale Opponent Color Features Using Gabor Filters,
ICIP97(II: 203-206).
IEEE DOI BibRef

Healey, G.[Glenn], and Wang, L.Z.[Li-Zhi],
3-Dimensional Surface Segmentation Using Multicolored Illumination,
OptEng(37), No. 5, May 1998, pp. 1553-1562. 9806
BibRef
Earlier:
Segmenting Surface Shape Using Colored Illumination,
SCIA97(xx-yy)
HTML Version. 9705
BibRef


Healey, G.[Glenn], Wang, L.Z.[Li-Zhi],
Segmenting 3-d Surfaces using Multicolored Illumination,
CVPR98(384-389).
IEEE DOI BibRef 9800

Thai, B., and Healey, G.,
Representing Multiscale N-folded Symmetry in Color Texture,
ICIP97(I: 807-810).
IEEE DOI BibRef 9700

Suen, P.H., Healey, G.,
A New Spatial Interaction Model for Color Texture,
ICIP97(II: 867-870).
IEEE DOI BibRef 9700

Healey, G., and Dom, B.,
Pattern Classification Algorithms for Real-Time Image Segmentation,
ICPR90(II: 545-550).
IEEE DOI Abstract:
HTML Version. BibRef 9000

Healey, G.,
A Parallel Color Algorithm for Segmenting Images of 3-D Scenes,
DARPA89(1038-1042). Segmentation, Edges. Segmentation, Split and Merge. Segmentation by classification using physical properties. Quad-tree split and merge if edges exist in the square. A combination of edges and regions. Not much there yet. BibRef 8900

Healey, G.,
A Color Reflectance Model and Its Use for Segmentation,
ICCV88(460-466).
IEEE DOI Similar to the next one. BibRef 8800

Sumanaweera, T.S., Healey, G., Lee, B.U., Binford, T.O., Ponce, J.,
Image Segmentation Using Geometric and Physical Constraints,
DARPA88(1091-1099). BibRef 8800

Healey, G., Binford, T.O.,
Predicting Material Classes,
DARPA88(1140-1146). BibRef 8800

Healey, G., and Binford, T.O.,
A Color Metric for Computer Vision,
DARPA88(854-861) BibRef 8800
And: CVPR88(10-17).
IEEE DOI Color. Through a lot of analysis, turn color into one measure. A lot of effort for little gain. BibRef

Healey, G., Binford, T.O.,
The Role and Use of Color in a General Vision System,
DARPA87(599-613). BibRef 8700
And:
Color Algorithms for a General Vision System,
IJCAI87(759-762). BibRef


Last update:Sep 25, 2017 at 16:36:46