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» Image Super-Resolution by Vectorizing Edges
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ICPR
2006
IEEE
14 years 9 months ago
Texture Edge Detection using Multi-resolution Features and SOM
Texture boundaries or edges are useful information for segmenting a texture image. We propose a texture edge detection algorithm using a bank of 1-D multi-channel, multiresolution...
Lalit Gupta, Sukhendu Das
MMM
2005
Springer
202views Multimedia» more  MMM 2005»
14 years 1 months ago
Image Mining and Retrieval Using Hierarchical Support Vector Machines
For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been la...
Ross Brown, Binh Pham
ICIP
2009
IEEE
14 years 9 months ago
Motion Vector Processing Using The Color Information
In this paper, we investigate color distribution around object edges and further exploit this information for motion vector reliability analysis. Since the motion vectors are ofte...
PRL
2008
356views more  PRL 2008»
13 years 7 months ago
Improving image segmentation by gradient vector flow and mean shift
The classical gradient vector flow (GVF) method suffers from deficiency in the presence of other significant edges adjacent to the real boundary. In this paper, we propose an impr...
Tangwei Liu, Huiyu Zhou, Faquan Lin, Yusheng Pang,...
ACCV
2006
Springer
14 years 1 months ago
Minimal Weighted Local Variance as Edge Detector for Active Contour Models
Performing segmentation of narrow, elongated structures with low contrast boundaries is a challenging problem. Boundaries of these structures are difficult to be located when noise...
Max W. K. Law, Albert C. S. Chung