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Combination of Local, Global and k-mean using Wavelet Transform for Content Base Image Retrieval
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
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The features computed on tiles serve as local descriptors of color and texture features. ...
Color feature is one of the most imperative low-level illustration features, so color index is one of the basic methods of image retrieval. ...
doi:10.14257/ijsip.2015.8.6.27
fatcat:4aqfm55ylvdsnnuwifihmkx34i
Combination of Local, Global and K-Mean using Wavelet Transform for Content Base Image Retrieval
2015
International Journal of Computer Applications
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The features computed on tiles serve as local descriptors of color and texture features. ...
Color feature is one of the most imperative low-level illustration features, so color index is one of the basic methods of image retrieval. ...
doi:10.5120/20402-2739
fatcat:5bbn6rqkujdkhk2m2mkc4rg6sm
A Method of Waypoint Selection in Aerial Images for Vision Navigation
2014
International Journal of Optics
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We present a novel method to select waypoints from aerial images of candidate flying regions via matching suitability analysis, which is based on visual attention mechanism and feature attribute classification ...
At first, visual attention mechanism is used to get the saliency map of the initial image by low-rank recovery and sparse coding. ...
Acknowledgments This research was financially supported by Xi'an Science and Technology Project (CXY1350(2)) and Aeronautical Science Foundation of China (20100853010). ...
doi:10.1155/2014/161026
fatcat:g4zcmklbvvaovaaukgvg75u36a
The use of texture measures in improving mine classification performance
2003
Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492)
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The present approach centers around a baseline 23 Feature set related to highlight, shadow, and highlight/shadow contrast statistic based segmentations, and the use of associated statistical and shape ...
In the work described here we investigate the improvement of baseline performance by incorporating image texture related features such as Cooccurrence Matrix related factors. 0-933957-31-9 14. ...
/Thresholding
Image Histograming, Extraction of Top % Pixels, and Region Labeling Calculation of MP,PC Features and Associated Ranks rMP ,rPC for each Blob/Token Filtering Based on Size and Aggregate ...
doi:10.1109/oceans.2003.178497
fatcat:jwhis53x2zaubfchkzddscbbfe
Image Inpainting Algorithm Based on Low-Rank Approximation and Texture Direction
2014
Mathematical Problems in Engineering
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An inpainting algorithm based on low-rank approximation and texture direction is proposed in the paper. At first, we decompose the image using low-rank approximation method. ...
Existing image inpainting algorithm based on low-rank matrix approximation cannot be suitable for complex, large-scale, damaged texture image. ...
In this paper texture feature extraction is based on wavelet transform pyramid structure. ...
doi:10.1155/2014/621520
fatcat:x3jzdsveq5dppnm5mgwjf6btbu
Extracting multidimensional signal features for content-based visual query
1995
Visual Communications and Image Processing '95
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This paper focuses on automatic extraction of low-level visual features such as texture, color, and shape. ...
We also propose a quad-tree based data structure to bind various signal features. Integrated feature maps are proposed to improve the overall effectiveness of the feature-based image query system. ...
Acknowledgment: We thank Louis Wang and Horace Meng for their contributions in the area of color histogram indexing and video scene change/dissolve detection.
References ...
doi:10.1117/12.206632
fatcat:vffgvjurqbccldhho3az3qiw5i
CBIR of Brain MR Images using Histogram of Oriented Gradients and Local Binary Patterns: A Comparative Study
2015
International Journal of Engineering Research and
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Generally, visual features such as color, shape and texture are used for the retrieval of similar images in Content-Based Image Retrieval (CBIR) process. ...
It has been compared with the texture descriptor called Local binary pattern (LBP) and the results show that method outperforms the texture descriptor. ...
Average Rank Average rank is calculated using the images retrieved based on a set of random number of query images. ...
doi:10.17577/ijertv4is070200
fatcat:jf5tqpofgrdh7dr5nqd3ieznqu
Author Index
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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for Multi-View Gait Recognition based on Local Motion Feature
Selection
Multi-View Structure Computation without Explicitly Estimating Motion
Li, Hongsheng
Object Matching with a Locally Affine-Invariant ...
: A Tumor Growth Modeling Based Approach Workshop: Learning High-dimensional Image Statistics for Aabnormality Detection on Medical Images Workshop: Application of Trace-Norm and Low-Rank Matrix Decomposition ...
doi:10.1109/cvpr.2010.5539913
fatcat:y6m5knstrzfyfin6jzusc42p54
Editorial of the special issue on Advances in Low-Level Image representations for processing and analysis
2015
Signal, Image and Video Processing
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Several low-level image representations have proven their benefits, one can quote wavelets, Bag Of Words, sparse representations, Local Binary Patterns, etc. ...
Having a suitable representation for visual features enables reasoning with the end goal of helping object categorization, image region classification, image segmentation and restoration among others. ...
Acknowledgments The guest editors thank all those who have helped to make this special issue possible, especially the authors and the reviewers of the articles. ...
doi:10.1007/s11760-015-0807-z
fatcat:5zanl2azxngvxo6bmajwsvhpk4
Multi-Task Joint Sparse and Low-Rank Representation for the Scene Classification of High-Resolution Remote Sensing Image
2016
Remote Sensing
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In HRS image classification, multiple features, e.g., shape, color, and texture features, are employed to represent scenes from different perspectives. ...
Accordingly, effective integration of multiple features always results in better performance compared to methods based on a single feature in the interpretation of HRS images. ...
Thus, we focus on the usage of the sparse penalty and low-rank constraint to enforce joint sparsity and low-rank structure across representation tasks. , low-rank, and sparse + low-rank (MTJSLRC) respectively ...
doi:10.3390/rs9010010
fatcat:phdn4lsq5zhtbjonmsh3taf73q
Front Matter: Volume 10615
2018
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
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The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. ...
using a Base 36 numbering system employing both numerals and letters. ...
fusion [10615-227]
FEATURE SELECTION AND EXTRACTION
10615 19
Mutual information based feature selection for medical image retrieval [10615-55]
10615 1A
A novel local descriptor based on accumulated ...
doi:10.1117/12.2316542
fatcat:tdaw76jq6nehpnttiga2lcuhna
Segmentation of Defects in Textile Images Based on Adaptive Sparse Domain Selection Method
2019
Zenodo
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Generalized fabric inspection system needs perfect and efficient pattern recognition to detect and identify different types of defects in various kinds of fabrics. ...
The inspection system needs on good environment for managing the fabric manufacturing unit and inspection unit with better results. ...
JX Yang, YQ Zhao, JCW Chan, SG Kong (2016), "Coupled sparse denoising and un mixing with low rank constraint for hyper spectral image ", IEEE Transactions on Geo science and Remote Sensing, Volume 54, ...
doi:10.5281/zenodo.3573569
fatcat:eykcf7gwbjflpjytjwqitwwt4q
Masked Face Recognition Algorithm for a Contactless Distribution Cabinet
2021
Mathematical Problems in Engineering
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A masked face recognition algorithm based on attention mechanism is proposed in this paper in order to improve the recognition rate of masked face images. ...
First, the masked face image is separated by the local constrained dictionary learning method, and the face image part is separated. ...
Acknowledgments is work was supported by the Henan Province Science and Technology Tackling Plan Project (182102210533). ...
doi:10.1155/2021/5591020
fatcat:su6r6nh5ufel3cpej2kglx42mq
AN OPTIMIZED FEATURE EXTRACTION TECHNIQUE FOR CONTENT BASED IMAGE RETRIEVAL
2013
International Journal of Image Processing and Vision Science
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Structured features and multiple feature fusion are two main technologies to ensure the retrieval accuracy in the system. GIST is considered as one of the main structured features. ...
In this paper, Content Based Image Retrieval using various features such as color, shape, texture is made and a comparison is made among them. ...
The result of the scene classification paradigm based on this holistic perspective on natural scene images compared to human performance in a rapid scene classification experiment [9] , has provided evidence ...
doi:10.47893/ijipvs.2013.1061
fatcat:t75mfm7kznautgugjsxnu4mad4
Learning Hybrid Image Templates (HIT) by Information Projection
2012
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We evaluate the hybrid image templates on several datasets in the order of O(100) classes, and demonstrate encouraging performance in classification. ...
This automated feature selection procedure allows our algorithm to scale up to a wide range of image categories, from those with regular shapes to those with stochastic texture. ...
The work at UCLA is supported by NSF grants IIS0713652 and DMS 0707055. The work at Lotus Hill is supported by two NSFC grants 60728203 and 60832004. ...
doi:10.1109/tpami.2011.227
pmid:22144518
fatcat:xfikea4vhrha5btzqyqnhfdaae
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