Results 181 to 190 of about 5,981 (216)

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 O. Egiazarian   +2 more
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A Microscopic Image Sharpness Metric Based on the Local Binary Pattern (LBP)

Advanced Materials Research, 2014
Microscopic 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, Yi Gang Wang, Sheng Li Fan   +2 more
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Detection and Analysis of Video Inconsistency Based on Local Binary Pattern (LBP)

2019
In 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, Vivek Mahale, Mouad M. H. Ali, Pravin L. Yannawar   +3 more
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Local binary pattern: An improved LBP to extract nonuniform LBP patterns with Gabor filter to increase the rate of face similarity

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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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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Arabic Writer Identification Using Local Binary Patterns (LBP) of Handwritten Fragments

2015
This 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, Imran Siddiqi, Mohamed El Youssfi El Kettani   +2 more
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Representation of Dorsal Hand Vein Pattern Using Local Binary Patterns (LBP)

2015
In this revolutionized and digital world, the increasing need of security to protect individuals and information has led to a rise in developing biometric systems over traditional security systems such as pincode and password. Finding more reliable, practical and more acceptable biometrics and techniques are attracting the attention of researchers ...
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Techniques for the Detection of Skin Lesions in PH2 Dermoscopy Images Using Local Binary Pattern (LBP)

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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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, 2019
In 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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Computation of the Local Binary Pattern (LBP) descriptor of large scale images

2014
Local binary patterns (LBPs) are powerful texture descriptors that have recently found several applications in medical image analysis. Research in this field is currently directed towards parallel implementations suitable for processing large scale images.
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