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» New Features to Identify Computer Generated Images
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ICPR
2008
IEEE
16 years 20 days ago
Grading nuclear pleomorphism on histological micrographs
A mainstay in cancer diagnostics is the classification or grading of cell nuclei based on their appearance. While the analysis of cytological samples has been automated successful...
Eric Cosatto, Matthew Miller, Hans Peter Graf, Joh...
ASM
2010
ASM
16 years 1 months ago
Alloy+HotCore: A Fast Approximation to Unsat Core
Identifying a minimal unsatisfiable core in an Alloy model proved to be a very useful feature in many scenarios. We extend this concept to hot core, an approximation to unsat core...
Nicolás D'Ippolito, Marcelo F. Frias, Juan ...
SPIESR
2004
143views Database» more  SPIESR 2004»
15 years 7 months ago
An entropy-based objective evaluation method for image segmentation
Accurate image segmentation is important for many image, video and computer vision applications. Over the last few decades, many image segmentation methods have been proposed. How...
Hui Zhang, Jason E. Fritts, Sally A. Goldman
GMP
2006
IEEE
127views Solid Modeling» more  GMP 2006»
16 years 8 days ago
Finding All Undercut-Free Parting Directions for Extrusions
For molding and casting processes, geometries that have undercut-free parting directions (UFPDs) are preferred for manufacturing. Identifying all UFPDs for arbitrary geometries at ...
Xiaorui Chen, Sara McMains
IJCV
2010
194views more  IJCV 2010»
15 years 4 months ago
Extended Phase Field Higher-Order Active Contour Models for Networks - Its Application to Road Network Extraction from VHR Satel
This paper addresses the segmentation from an image of entities that have the form of a ‘network’, i.e. the region in the image corresponding to the entity is composed of bran...
Ting Peng, Ian H. Jermyn, Véronique Prinet,...