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» Morphological scale-space analysis and feature extraction
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SSIAI
2000
IEEE
13 years 9 months ago
Content Based Retrieval for Remotely Sensed Imagery
We present a framework for content based retrieval (CBR) of remotely sensed imagery. The main focus of our research is the segmentation step in CBR. A bank of gabor filters is use...
Badrinarayan Raghunathan, Scott T. Acton
SIBGRAPI
2003
IEEE
13 years 10 months ago
Image Feature Extraction for Application of Biometric Identification of Iris - A Morphological Approach
This paper presents a new approach based on morphological operators for application of biometric identification of individuals by segmentation and analysis of the iris. Algorithms ...
Joaquim de Mira Jr., Joceli Mayer
ICIP
2001
IEEE
14 years 6 months ago
Morphological scale-space analysis and feature extraction
This paper presents a morphological scale-space approach to the problem of feature extraction. The method relies on two steps: a hierarchical simplification step based on pyramids...
Corinne Vachier
IGARSS
2009
13 years 2 months ago
Kernel Principal Component Analysis for the Construction of the Extended Morphological Profile
Kernel Principal Component Analysis (KPCA) is investigated for feature extraction from hyperspectral remotesensing data. Features extracted using KPCA are used to construct the Ex...
Mathieu Fauvel, Jocelyn Chanussot, Jon Atli Benedi...
ICASSP
2011
IEEE
12 years 8 months ago
Wavelet footprints for detection and sorting of extracellular neural action potentials
Spike detection and sorting is a fundamental step in the analysis of extracellular neural recording. Here, we propose a combined spike detection-feature extraction algorithm that ...
Ki Yong Kwon, Karim G. Oweiss