Results 141 to 150 of about 17,197 (187)

Classification of Camouflage Images Using Local Binary Patterns (LBP)

2021 29th Signal Processing and Communications Applications Conference (SIU), 2021
Hidden objects in camouflage images have almost the same texture, color and pattern features as the background image they are in. Since the camouflaged object shows almost identical texture features with the background, it is a very difficult problem to detect and classify.
BAYRAM, ERKAN, NABIYEV, VASIF
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OD-LBP: Orthogonal difference-local binary pattern for Face Recognition

Digital Signal Processing, 2021
Abstract Most of the local descriptors exists today are based on the relationship between the neighborhood pixels and the center pixel by considering the 3 × 3 spatial window. Moving one step forward from the previous methodologies used, this research paper introduces the novel descriptor for Face analysis called as orthogonal difference ...
Shekhar Karanwal, Manoj Diwakar
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The Mesh-LBP: Computing Local Binary Patterns on Discrete Manifolds

2013 IEEE International Conference on Computer Vision Workshops, 2013
In this paper, we present a novel and original framework for computing Local Binary Pattern (LBP)-like patterns on a triangular mesh manifold. This framework, dubbed mesh-LBP can be adapted to all the LBP variants employed in 2D image analysis. As such, it allows extending the related techniques to mesh surfaces. First, we describe the foundations, the
N. Werghi, BERRETTI, STEFANO, DEL BIMBO, ALBERTO, PALA, PIETRO   +3 more
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Brain tumor classification using modified local binary patterns (LBP) feature extraction methods

Medical Hypotheses, 2020
Automatic classification of brain tumor types is very important for accelerating the treatment process, planning and increasing the patient's survival rate. Today, MR images are used to determine the type of brain tumor. Manual diagnosis of brain tumor type depends on the experience and sensitivity of radiologists. Therefore, researchers have developed
Kaplan, Kaplan, Kaya, Yilmaz, Kuncan, Melih, Ertunc, H. Metin   +3 more
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Local polynomial approximation-local binary pattern (LPA-LBP) based face classification

SPIE Proceedings, 2011
In literature of face recognition many methods have been proposed which extract features at multiple scales for robust classification. In this paper, we proposed a novel method which utilizes Local Polynomial Approximation (LPA) techniques to capture the directional information of the face image at different scales. LPA based filters are used to obtain
Rakesh Mehta, Jirui Yuan, Karen Egiazarian   +2 more
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A comparative study on local binary pattern (LBP) based face recognition: LBP histogram versus LBP image

Neurocomputing, 2013
Abstract The spatially e nhanced l ocal b inary p attern (LBP) h istogram (eLBPH) methodology has attained an established position in the field of face recognition (FR) and derived many face analysis approaches. Their implementations follow a similar procedure: first divide a full facial image into some regions (subimages) and individually ...
Bo Yang, Songcan Chen
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Boosting Local Binary Pattern (LBP)-Based Face Recognition

2004
This paper presents a novel approach for face recognition by boosting statistical local features based classifiers The face image is scanned with a scalable sub-window from which the Local Binary Pattern (LBP) histograms [14] are obtained to describe the local features of a face image The multi-class problem of face recognition is transformed into a ...
Guangcheng Zhang, Xiangsheng Huang, Stan Z. Li, Yangsheng Wang, Xihong Wu   +4 more
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The Mesh-LBP: A Framework for Extracting Local Binary Patterns From Discrete Manifolds

IEEE Transactions on Image Processing, 2015
In this paper, we present a novel and original framework, which we dubbed mesh-local binary pattern (LBP), for computing local binary-like-patterns on a triangular-mesh manifold. This framework can be adapted to all the LBP variants employed in 2D image analysis. As such, it allows extending the related techniques to mesh surfaces. After describing the
N. Werghi, BERRETTI, STEFANO, DEL BIMBO, ALBERTO   +2 more
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A pixel based fragile watermarking technique using LBP (Local Binary Pattern)

2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC), 2016
The fragile watermarking technique presented in this paper is based on the pixel information. The authentication data is calculated from the pixels by using Local Binary Pattern concept. Spatial information of pixels is used for watermark calculation and it is having spatial relationship of pixels.
Shakil A. Pinjari, Nitin N. Patil
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A modified approach of fragile watermarking using Local Binary Pattern (LBP)

2015 International Conference on Pervasive Computing (ICPC), 2015
This paper proposes a modified approach of fragile watermarking. The watermark generation is based on Local Binary Pattern (LBP). The proposed method is having recovery ability. Local Binary Pattern (LBP) is an operator that describes the surroundings of a pixel by generating a LBP code.
Shakil A. Pinjari, Nitin N. Patil
openaire   +1 more source