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» A Segmentation Algorithm for Noisy Images
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SCALESPACE
1997
Springer
15 years 7 months ago
From High Energy Physics to Low Level Vision
A geometric framework for image scale space, enhancement, and segmentation is presented. We consider intensity images as surfaces in the (x I) space. The image is thereby a 2D surf...
Ron Kimmel, Nir A. Sochen, Ravi Malladi
125
Voted
ICIP
1995
IEEE
15 years 7 months ago
Multigrid adaptive image processing
We consider a general weighted least squares approximation problem with a membrane spline regularization term. The key parameters in this formulation are the weighting factors whi...
Michael Unser
ECAI
2008
Springer
15 years 5 months ago
Sequential spatial reasoning in images based on pre-attention mechanisms and fuzzy attribute graphs
Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics, and graphs...
Geoffroy Fouquier, Jamal Atif, Isabelle Bloch
103
Voted
3DPVT
2004
IEEE
15 years 7 months ago
Recognition of Object Contours from Stereo Images: An Edge Combination Approach
In this paper, we present an algorithm to combine edge information from stereo-derived depth maps with edges from the original intensity/color image to improve the contour detecti...
Margrit Gelautz, Danijela Markovic
ICRA
2003
IEEE
210views Robotics» more  ICRA 2003»
15 years 8 months ago
A truncated least squares approach to the detection of specular highlights in color images
— One of the most difficult aspects of dealing with illumination effects in computer vision is accounting for specularity in the images of real objects. The specular regions in ...
Jae Byung Park, Avinash C. Kak