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Classification of Camouflage Images Using Local Binary Patterns (LBP)
2021 29th Signal Processing and Communications Applications Conference (SIU), 2021Hidden 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.
Erkan Bayram, Vasif V. Nabiyev
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The Mesh-LBP: Computing Local Binary Patterns on Discrete Manifolds
2013 IEEE International Conference on Computer Vision Workshops, 2013In 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
Naoufel Werghi +3 more
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Local polynomial approximation-local binary pattern (LPA-LBP) based face classification
SPIE Proceedings, 2011In 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 +2 more
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Detection and Analysis of Video Inconsistency Based on Local Binary Pattern (LBP)
2019In the Human life, videos popularity has increased day by day. With the help of high qualityvideo camera and video editing tools peoples easily manipulate video for malicious intent. Sonow a day, this is becoming significant topic in the recent year with more difficulties.
Ashok Gaikwad +3 more
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A Microscopic Image Sharpness Metric Based on the Local Binary Pattern (LBP)
Advanced Materials Research, 2014Microscopic image sharpness metric is very sensitive to illumination changes, so the research of sharpness metric methods which have better robustness to illumination is required. A new method which utilized the specialty of different orientation of Local Binary Pattern (LBP) is proposed. Firstly, the effective information and judge orientation of them
Jian Ning Lai +2 more
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2016 Second International Conference on Cognitive Computing and Information Processing (CCIP), 2016
The LBP is a technique used to extract textures of an image, especially in facial image analysis. As we are intended to extract more fine texture details of an image to increase the rate of facial similarity, we combined the techniques of LBP with Gabor filters to obtain a fine texture details.
Ravi Kumar Y.B., Ravi Kumar C.N.
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The LBP is a technique used to extract textures of an image, especially in facial image analysis. As we are intended to extract more fine texture details of an image to increase the rate of facial similarity, we combined the techniques of LBP with Gabor filters to obtain a fine texture details.
Ravi Kumar Y.B., Ravi Kumar C.N.
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Arabic Writer Identification Using Local Binary Patterns (LBP) of Handwritten Fragments
2015This paper presents a novel approach for off-line text-independent writer identification using Arabic handwritten images. Exploiting the idea that graphical fragments of handwriting characterize the writer, we propose a local approach based on texture analysis of small writing fragments where each fragment is represented by its Local Binary Pattern ...
Yaâcoub Hannad +2 more
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Brain tumor classification using modified local binary patterns (LBP) feature extraction methods
Medical Hypotheses, 2020Automatic 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 +3 more
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2021
Skin lesion is the most deadly skin disease in humans, it arises as a result of disorders in the pigment cells, which is produced by a pigment known as melanin. This disease can be prevented and treated if there is an early diagnosis of the disease. Computer-Aided Diagnosis (CAD) has played a key role in helping dermatologists to diagnose the disease ...
Ebrahim Mohammed Senan, Mukti E. Jadhav
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Skin lesion is the most deadly skin disease in humans, it arises as a result of disorders in the pigment cells, which is produced by a pigment known as melanin. This disease can be prevented and treated if there is an early diagnosis of the disease. Computer-Aided Diagnosis (CAD) has played a key role in helping dermatologists to diagnose the disease ...
Ebrahim Mohammed Senan, Mukti E. Jadhav
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The use of Local Binary Pattern (LBP) feature extraction Members of the mud crab genus Scylla
Proceedings of the 2019 3rd International Conference on Advances in Artificial Intelligence, 2019In the member of mud crab, species of Scylla are the most traded seafood commodity in Asia and the culturing practice is already done in most of Asia country a few years ago. The demand for mud crabs has increased rapidly over the last decade, providing great potential for the development of the mud crab aquaculture industry.
Rozniza Ali, M. Syafieq M. Fauzi
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