Sciweavers

383 search results - page 19 / 77
» Color Constancy using Image Regions
Sort
View
73
Voted
CIARP
2007
Springer
15 years 3 months ago
Image Segmentation Using Automatic Seeded Region Growing and Instance-Based Learning
Segmentation through seeded region growing is widely used because it is fast, robust and free of tuning parameters. However, the seeded region growing algorithm requires an automat...
Octavio Gómez, Jesús A. Gonzá...
87
Voted
ICIP
2003
IEEE
15 years 11 months ago
Color correction and interpolation with few samples
With the proliferation of digital cameras, more consumers are faced with the problem of making color corrections to their pictures. while most picture editors allow some white poi...
H. Joel Trussell, Huiwen Zeng, Michael J. Vrhel
CVPR
2005
IEEE
15 years 11 months ago
Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization
We address the problem of regional color transfer between two natural images by probabilistic segmentation. We use a new Expectation-Maximization (EM) scheme to impose both spatia...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang
MM
1996
ACM
538views Multimedia» more  MM 1996»
15 years 1 months ago
Comparing Images Using Color Coherence Vectors
Color histograms are used to compare images in many applications. Their advantages are efficiency, and insensitivity to small changes in camera viewpoint. However, color histogram...
Greg Pass, Ramin Zabih, Justin Miller
CAIP
2001
Springer
15 years 2 months ago
Visual Attention Guided Seed Selection for Color Image Segmentation
Abstract. The "seeded region growing" SRG is a segmentation technique which performs an image segmentation with respect to a set of initial points, known as seeds. Give...
Nabil Ouerhani, Neculai Archip, Heinz Hügli, ...