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ICIAR
2010
Springer
13 years 8 months ago
Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
Nicola Greggio, Alexandre Bernardino, José ...
ICIP
2005
IEEE
15 years 15 days ago
New algorithms for fast and accurate AM-FM demodulation of digital images
Multidimensional Amplitude-Modulation Frequency - Modulation (AM-FM) models allow us to describe continuousscale modulations in digital images. AM-FM models have led to a wide ran...
Paul V. Rodriguez, Marios S. Pattichis
TIP
2010
90views more  TIP 2010»
13 years 5 months ago
Fast Query for Exemplar-Based Image Completion
In this paper, we present a fast algorithm for filling unknown regions in an image using the strategy of exemplarmatching. Unlike the original exemplar-based method using exhaustiv...
Tsz-Ho Kwok, Hoi Sheung, Charlie C. L. Wang
ICIP
2008
IEEE
15 years 17 days ago
The path assigned mean shift algorithm: A new fast mean shift implementation for colour image segmentation
This paper presents a novel method for colour image segmentation derived from the mean shift theorem. When applied to colour image segmentation tasks, the path assigned mean
Akash Pooransingh, Cathy-Ann Radix, Anil C. Kokara...
ICIP
2000
IEEE
15 years 12 days ago
A Fast Hierarchical Algorithm of Maximum Intensity Projection
The maximum intensity projection (MIP) is a useful tool to visualize 3D images. The processing time of the MIP depends on the number of voxels of the 3D data. Therefore, it is ver...
Keun Ho Kim, Min Jeong Kwon, Hyun Wook Park