نتایج جستجو برای: shape adaptive gabor

تعداد نتایج: 389237  

Journal: :Journal of biomedical optics 2015
Christopher Costa Adrian Bradu John Rogers Pauline Phelan Adrian Podoleanu

We present a swept source optical coherence tomography (OCT) system at 1060 nm equipped with a wavefront sensor at 830 nm and a deformable mirror in a closed-loop adaptive optics (AO) system. Due to the AO correction, the confocal profile of the interface optics becomes narrower than the OCT axial range, restricting the part of the B-scan (cross section) with good contrast. By actuating on the ...

2014
S. Shanthi V. Muralibhaskaran

Mammography has been one of the most reliable methods for early detection of breast cancer. There are different lesions which are breast cancer characteristic such as microcalcifications, masses, architectural distortions and bilateral asymmetry. One of the major challenges of analysing digital mammogram is how to extract efficient features from it for accurate cancer classification. In this pa...

2014
H. Kasban

This paper presents a proposed automatic fingerprint verification technique. The proposed technique consists of two phases; a training phase and a testing phase. In the training phase, firstly, image enhancement process is carried out using Adaptive Histogram Equalization (AHE) and Gabor filter, then, the Higher Order Statistics (HOS) of the image are estimated. The local and global features ar...

1994
Yalin Xiong Steven A. Shafer

There are two basic problems concerned with Gabor lterings we will address in this paper. One is the window size problem, in which we will adopt a set of 2D variable window Gabor lters, and compare its performance with those of xed window lters. We will show that the variable window scheme is more adaptive to image contents. The other problem we will address is the stability of amplitude and ph...

Journal: :IJWMIP 2007
Florent Jaillet Bruno Torrésani

We describe a new adaptive multiwindow Gabor expansion, which dynamically adapts the windows to the signal’s features in time-frequency space. The adaptation is based upon local time-frequency sparsity criteria, and also yields as by-product an expansion of the signal into layers corresponding to different windows. As an illustration, we show that simply using two different windows with differe...

2007
Holger Handel

Palmprint Recognition Under Unconstrained Scenes p. 1 Comparative Studies on Multispectral Palm Image Fusion for Biometrics p. 12 Learning Gabor Magnitude Features for Palmprint Recognition p. 22 Sign Recognition Using Constrained Optimization p. 32 Image and Video Processing Depth from Stationary Blur with Adaptive Filtering p. 42 Three-Stage Motion Deblurring from a Video p. 53 Near-Optimal M...

2002
A. Jonathan Howell Hilary Buxton

In this paper we introduce adaptive vision techniques used, for example, in video-conferencing applications. Radial Basis Function (RBF) networks have been trained for gesture-based communication with colour/motion cues to direct face detection and capture ‘attentional frames’. These focus the processing for Visually Mediated Interaction via an appearance-based approach with Gabor filter coeffi...

Journal: :CoRR 2017
Roswitha Bammer Monika Dörfler

In this paper a feature extractor based on Gabor frames and Mallat’s scattering transform, called Gabor scattering, is introduced. This feature extractor is applied to a simple signal model for audio signals, i.e. a class of tones consisting of fundamental frequency and its multiples and an according envelope. Within different layers, different invariances to certain signal features occur. In t...

Journal: :Pattern Recognition Letters 2013
George Azzopardi Nicolai Petkov

Background: The vascular tree observed in a retinal fundus image can provide clues for cardiovascular diseases. Its analysis requires the identification of vessel bifurcations and crossovers. Methods: We use a set of trainable keypoint detectors that we call Combination Of Shifted FIlter REsponses or COSFIRE filters to automatically detect vascular bifurcations in segmented retinal images. We c...

2016
Ahmad Poursaberi

Automatic facial expression recognition has become a progressive research area since it plays a major role in human computer interaction. The facial expression recognition finds its major application in areas like social interaction and social intelligence. However it is not an easy task because the facial image, facial occlusion, face color/shape etc. is not easy to deal with. In this paper, v...

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