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SIAMSC
2008
237views more  SIAMSC 2008»
13 years 5 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto
ICIP
2010
IEEE
13 years 3 months ago
A new subspace learning method in Fourier domain for texture classification
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...
Shu Liao, Albert C. S. Chung
ICDAR
2009
IEEE
13 years 3 months ago
Image Classification to Improve Printing Quality of Mixed-Type Documents
Functional image classification is the assignment of different image types to separate classes to optimize their rendering for reading or other specific end task, and is an import...
Rafael Dueire Lins, Gabriel Pereira e Silva, Steve...
ISCAS
2006
IEEE
90views Hardware» more  ISCAS 2006»
13 years 11 months ago
Quality-biased rate allocation for compound image coding with block classification
- In this paper, we propose a novel rate allocation method for compound image coding using Quality-biased Rate-Distortion Optimization (QRDO) technique to enhance visual quality. T...
Dong Liu, Wenpeng Ding, Yuwen He, Feng Wu
CVPR
2010
IEEE
13 years 10 months ago
Learning Weights for Codebook in Image Classification
This paper presents a codebook learning approach for image classification and retrieval. It corresponds to learning a weighted similarity metric to satisfy that the weighted simil...
Hongping Cai, Krystian Mikolajczyk, Fei Yan