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» Unsupervised feature extraction using neuro-fuzzy approach
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CVPR
2009
IEEE
16 years 7 months ago
Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images
Automated detection of lesions in retinal images can assist in early diagnosis and screening of a common disease: Diabetic Retinopathy. A robust and computationally efficient ap...
Saiprasad Ravishankar (University of Illinois Urba...
ACIVS
2009
Springer
15 years 3 months ago
Unsupervised Detection of Gradual Video Shot Changes with Motion-Based False Alarm Removal
The temporal segmentation of a video into shots is a fundamental prerequisite for video retrieval. There are two types of shot boundaries: abrupt shot changes (“cuts”) and grad...
Ralph Ewerth, Bernd Freisleben
TSMC
2002
99views more  TSMC 2002»
14 years 11 months ago
Defect detection in textured materials using optimized filters
Theproblemofautomateddefectdetectionintextured materials is investigated. A new approach for defect detection using linearFIRfilterswithoptimizedenergyseparationisproposed.Performa...
Ajay Kumar, Grantham K. H. Pang
JMM2
2006
145views more  JMM2 2006»
14 years 11 months ago
Improved Active Shape Model for Facial Feature Extraction in Color Images
In this paper we present an improved Active Shape Model (ASM) for facial features extraction. The original ASM developed by Cootes et al. [1] suffers from factors such as, poor mod...
Mohammad H. Mahoor, Mohamed Abdel-Mottaleb, A-Nass...
CVPR
2008
IEEE
16 years 1 months ago
Simultaneous super-resolution and feature extraction for recognition of low-resolution faces
Face recognition degrades when faces are of very low resolution since many details about the difference between one person and another can only be captured in images of sufficient...
Pablo H. Hennings-Yeomans, Simon Baker, B. V. K. V...