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Local Intensity Ordering based Binary Patterns for Image Region Description
2017
Advances In Image and Video Processing
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In this paper, two novel local image region descriptors called Local Intensity Order-based Center Symmetric Local Binary Patterns (LIOCSLBP) and Local Intensity Order-based Orthogonally Combined Local ...
The rotation invariance characteristic of the proposed binary pattern-based local region description is achieved by applying a simple and efficient mechanism called Local Intensity Ordering (LIO). ...
[58] introduced the Robust Local Binary Pattern (RLBP) using Average Local Gray level (ALG) of each patch for binary pattern computation. ...
doi:10.14738/aivp.53.3279
fatcat:rypreie43jdkzpzdfgu7ftjmmq
Wavelet-Local binary pattern based face recognition
2017
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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This paper investigates a technique to reduce features necessary for face recognition based on local binary pattern, which is constructed by applying wavelet transform into local binary pattern. ...
The approach is evaluated in two ways: wavelet transform applied to the LBP features and wavelet transform applied twice on the original image and LBP features. ...
Local binary pattern The LBP is a non-parametric operator used to define the local spatial structure of an image. ...
doi:10.24297/ijct.v16i1.5779
fatcat:vmlhju35szamphrbthmh3j7pce
Evaluation of robustness against rotation of LBP, CCR and ILBP features in granite texture classification
2010
Machine Vision and Applications
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The aim of the paper is to conduct a performance evaluation where several texture descriptors such as Local Binary Patterns (LBP), Coordinated Clusters Representation (CCR) and (Improved Local Binary Patterns ...
In order to attain this goal, we have generated a database of granite textures that were rotated using hardware and software procedures. ...
The authors are grateful to INFAIMON, S.L. for providing the dome used to illuminate the granite slabs and to Mondial Marmi SpA for providing the granite tiles used in the experiments. ...
doi:10.1007/s00138-010-0253-4
fatcat:3kdr32ghqvfn3a4ixk2ted2chq
Human detection using Discriminative and Robust Local Binary Pattern
2013
2013 IEEE International Conference on Acoustics, Speech and Signal Processing
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In this paper, we propose a novel edge-texture feature, Discriminative Robust Local Binary Pattern (DRLBP), for human detection. ...
Despite superior performance of Local Binary Pattern (LBP) in texture classification and face detection, its performance in human detection has been limited for two reasons. ...
CONCLUSION This paper presents a novel edge-texture feature, Discriminative Robust Local Binary Pattern (DRLBP), for human detection to alleviate the limitations of Local Binary Pattern (LBP) and Non-Redundant ...
doi:10.1109/icassp.2013.6638080
dblp:conf/icassp/SatpathyJE13
fatcat:dpg5xhhyajashngo2awtpu7zuy
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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It has been compared with the texture descriptor called Local binary pattern (LBP) and the results show that method outperforms the texture descriptor. ...
Generally, visual features such as color, shape and texture are used for the retrieval of similar images in Content-Based Image Retrieval (CBIR) process. ...
Local Binary Patterns Local binary patterns were introduced by Ojala et al [3] as a fine scale texture descriptor. ...
doi:10.17577/ijertv4is070200
fatcat:jf5tqpofgrdh7dr5nqd3ieznqu
A Face Recognition Technique using Local Binary Pattern Method
IJARCCE - Computer and Communication Engineering
2015
IJARCCE
IJARCCE - Computer and Communication Engineering
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In this paper, we evaluate facial representation predicated on statistical local features, Local Binary Patterns, for facial expression recognition. ...
This vector forms an efficient representation of the face area and can be used to measure similarities between images. ...
Taqdir (Assistant Professor, Department of Computer Science and Engineering, Guru Nanak Dev University RC, Gurdaspur) for her guidance, encouragement and supervision during the period of this work. ...
doi:10.17148/ijarcce.2015.4340
fatcat:cjqmbhyddvafhmemd27rgdvzo4
Improving distinctiveness of brisk features using depth maps
2015
2015 IEEE International Conference on Image Processing (ICIP)
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Binary local descriptors are widely used in computer vision thanks to their compactness and robustness to many image transformations such as rotations or scale changes. ...
It employs a local parametrization of the scene surface, obtained through depth information, which is used to build a BRISK-like sampling pattern intrinsic to the scene surface. ...
At the same time, the descriptive power of such binary sequences is highly competitive to the non-binary descriptors, which is confirmed in different works ([4] , [7] ). ...
doi:10.1109/icip.2015.7351232
dblp:conf/icip/KarpushinVD15
fatcat:cs2nufxdqbatvpu35salpfzn2i
A Novel Texture Classification Scheme based on Completed Multiple Adaptive Threshold Patterns
2020
Procedia Computer Science
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Local binary patterns and their extensions are heavily used in image texture classification. ...
Abstract Local binary patterns and their extensions are heavily used in image texture classification. ...
CLBC patterns are rotation invariant and are non-binary. ...
doi:10.1016/j.procs.2020.04.034
fatcat:hzzyupcw75a2hi6orzkbwitk6q
Efficient data mining for local binary pattern in texture image analysis
2015
Expert systems with applications
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Local binary pattern (LBP) is a simple gray scale descriptor to characterize the local distribution of the grey levels in an image. ...
We incorporated three different descriptors (LBP, local contrast measure, and local directional derivative measure) with three spatial resolutions and evaluated our approach using two comprehensive texture ...
Recently, a local texture descriptor, called local binary pattern (LBP) , has gained much attention due to its low computational complexity, grayscale and rotation invariance, robustness to illumination ...
doi:10.1016/j.eswa.2015.01.055
pmid:25767332
pmcid:PMC4353407
fatcat:lg7q2ymburh6paugoc4hdk2aly
Innovative Texture Database Collecting Approach and Feature Extraction Method based on Combination of Gray Tone Difference Matrixes, Local Binary Patterns,and K-means Clustering
[article]
2018
arXiv
pre-print
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The first one is developing feature representation based on gray tone difference matrixes and local binary patterns features and the next one is consisted an innovative algorithm which is based on K-means ...
If texture analysis is done accurately, it can be used in many cases such as object tracking, visual pattern recognition, and face recognition.Since now, so many methods are offered to solve this problem ...
Local Binary Patterns The local binary patterns (LBP) is a non-parametric operator which describes the local spatial structure and local contrast of an image. Ojala et al. ...
arXiv:1803.04125v1
fatcat:vmvrw2v4zjbklhieyaxwl4h2da
Oriented Changing Light Facial Image Recognition Based on Sub Pattern Texture Analysis
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
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the face recognition problem of light conditions big change, secondly by extracting the texture characteristics of local model is not sensitive to illumination changes, using Distance transformation measures ...
In order to solve this problem, this paper proposes a face recognition framework based on the sub pattern under the condition of illumination change, first of all, the framework using minimize the total ...
Then these tags histogram can be used as a texture descriptor, light change based on local binary pattern operators . ...
doi:10.14257/ijsip.2015.8.3.13
fatcat:qk4alw4b5naxdemcmrupzxmfzi
Analysis of Wireless Capsule Endoscopy Images using Local Binary Patterns
2015
Applied Medical Informatics
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In this study we have used a software application for texture analysis based on local binary pattern (LBP) operator. ...
Our study group consisted of 33 patients from the Gastroenterology and Hepatology Centre Craiova and from the 1st Internal Medicine and Gastroenterology Clinic from the Emergency County Hospital of Craiova ...
Analysis of Wireless Capsule Endoscopy Images using Local Binary Patterns Intestinal polyps are benign tumours developed from the enteric mucosa. ...
doaj:b5fbf6f80575433c90d0856189bc47b0
fatcat:x5vty5pztrffhmkrehtdnuboke
Texture-based steganalysis: results for color images
2004
Mathematics of Data/Image Coding, Compression, and Encryption VII, with Applications
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A method for steganalysis utilizing the local binary pattern (LBP) texture operator to examine the pixel texture patterns within neighborhoods across the color planes is presented. ...
The neural net in our experiment is trained with general texture related statistics from clean images and images modified using only one embedding algorithm, and is able to correctly discriminate clean ...
The local binary pattern operator was developed as a gray-scale invariant pattern measure that takes into account the amount of texture present in an image. ...
doi:10.1117/12.559896
fatcat:y53zpjtbbvez3o3daotofvoini
Advanced Local Binary Patterns for Remote Sensing Image Retrieval
2018
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Index Terms-local binary pattern, content based image retrieval, remote sensing. ...
The standard Local Binary Pattern (LBP) is considered among the most computationally efficient remote sensing (RS) image descriptors in the framework of large-scale content based RS image retrieval (CBIR ...
These methods, namely multichannel adder based local binary pattern (maLBP) and multichannel decoder based local binary pattern (mdLBP), exploit the local binary pattern information of multiple image bands ...
doi:10.1109/igarss.2018.8518856
dblp:conf/igarss/TekesteD18
fatcat:7nlgpkncljaa3pszb6lpisxhpe
Cattle face recognition using local binary pattern descriptor
2013
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
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In response to the current need for positive identification of cattle traceability, this paper presents a novel facial representation model of cattle based on local binary pattern (LBP) texture features ...
Robust alignment by sparse and low-rank decomposition was also used to align the images because of variations in illumination, image misalignment and occlusion in the test image. ...
It divides an image into many regions, provides a description of each region using local binary patterns, and then combines these descriptors into a histogram of the facial image. ...
doi:10.1109/apsipa.2013.6694369
dblp:conf/apsipa/CaiL13
fatcat:wf73soctobbhnk3q4zrliirr2e
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