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BMCBI
2005
152views more  BMCBI 2005»
13 years 7 months ago
Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
Markus Wistrand, Erik L. L. Sonnhammer
ICPR
2000
IEEE
14 years 9 months ago
A Comparative Study of Filter Based Texture Operators Using Mahalanobis Distance
Texture feature extraction operators, which comprise linear filtering, eventually followed by post-processing, are considered. The filters used are Laws' masks, filters deriv...
Simona E. Grigorescu, Nicolai Petkov, Peter Kruizi...
CVPR
2009
IEEE
15 years 3 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...
JMM2
2006
101views more  JMM2 2006»
13 years 7 months ago
Automatic Detection of Targets Using Center-Surround Difference and Local Thresholding
This paper proposes a new target detection method in low contrast forward looking infrared (FLIR) images. Automatic detection of small targets in remotely sensed images is a diffic...
Sun-Gu Sun, Dong-Min Kwak
ICIAP
1999
ACM
14 years 4 days ago
Comparison of Texture Features Based on Gabor Filters
—Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are compared. The features differ in the type of nonlinear post-processing which ...
Peter Kruizinga, Nicolai Petkov, Simona E. Grigore...