每日一词 | 特征级融合 Feature Level Image Fusion 原标题：《每日一词 | 特征级融合 Feature Level Image Fusion》
Image fusionEntropyDT-CWTFLIFPixelImage fusion is the process of combining information from two or more sensed or acquired images into a single composite image that is more informative and becomes more suitable for visual processing or computer processing. Image fusion fully utilizes much complementary...
1. 特征抽取层融合 3.1 特征抽取层融合的语种辨识模型 特征抽取层融合(Feature-level Fusion)就是在如图2 所 示的特征矢量部分对多种不同特征 …www.docin.com|基于1 个网页 例句 释义: 全部,特征抽取层融合 更多例句筛选 1. Image fusion can be divided into three levels, pixel level fusion, feature lev...
Infrared image is a color artificially given, so it is also a pseudo-color image. We use the feature-level image fusion technology to fuse color infrared images and pseudo-color MFL images and quantitatively identify the defect feature vectors after fusion. A wavelet noise reduction algorithm is...
Image fusionSupport value transform(SVTtop-hat decompositionFusion method of dual color mid-wave infrared images is presented in this paper in order to ... SZ Lin,FB Yang,L Chen - Guang pu xue yu guang pu fen xi = Guang pu 被引量: 3发表: 2014年 A method of dual-band infrared images...
Feature level fusion is also implemented for other fields such as medical image fusion (Kor & Tiwary, 2004; Patnaik, 2006) object classification (Wender & Dietmayer, 2007), machinery fault diagnosis (Liu, Ma, & Mathew, 2006) and content-based image retrieval (Rahman, Desai, & Bhattacharya,...
Image Level Fusion Method for Multimodal 2D + 3D Face Recognition This dependency reduces the benefit of fusion at the late-stage feature or metric level. On the other hand, it is advantageous to fuse at the early ... GP Kusuma,CS Chua - Image Analysis & Recognition, International Conference...
In this paper, impact of feature level fusion and feature selection on multiple distorted image quality assessment is presented. To this end features are extracted from multiple distorted images using six NR-IQA techniques (BLIINDS-II, BRISQUE, CurveletQA, DIIVINE, GM-LOG, SSEQ) that extract ...
Feature Level FusionNormalizationIJCSIThis paper proposed the use of multi-instance feature level fusion as a means to improve the performance of Finger Knuckle Print (FKP) verification. A log-Gabor filter has been used to extract the image local orientation information, and represent the FKP ...
feature extraction image capture image fusion image representation image sequences object tracking video signal processing fusion based-tracker joint sparse representation model kernel space multicue visual tracking nonlinear similarity capture robust feature level fusion video sequence Feature extraction Joints ...