Results 11 to 20 of about 687,695 (187)

A Novel Texture Descriptor: Circular Parts Local Binary Pattern

Image Analysis and Stereology, 2021
Local Binary Pattern (LBP) are considered as a classical descriptor for texture analysis, it has mostly been used in pattern recognition and computer vision applications. However, the LBP gets information from a restricted number of local neighbors which
Ibtissam Al Saidi, Mohammed Rziza, Johan Debayle   +2 more
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Retinal Disease Screening Through Local Binary Patterns [PDF]

IEEE Journal of Biomedical and Health Informatics, 2017
This paper investigates discrimination capabilities in the texture of fundus images to differentiate between pathological and healthy images. For this purpose, the performance of local binary patterns (LBP) as a texture descriptor for retinal images has been explored and compared with other descriptors such as LBP filtering and local phase quantization.
Morales Martínez, Sandra, Naranjo Ornedo, Valeriana, Colomer Granero, Adrián, Engan, Kjersti   +3 more
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Penerapan Algoritma Local Binary Pattern untuk Pengenalan Pola Sidik Jari [PDF]

, 2017
Recognition of patterns in a person by using parts of the human body, such as on fingerprints, has been widely applied in life such as to perform absenteeism, tracking a criminal, system security and so on.
Bettiza, M. (Martaleli), Hayaty, N. (Nurul), Pratama, E. I. (Eko)   +2 more
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PERBANDINGAN METODE PENGENALAN WAJAH MELALUI SURVEILLANCE BERBASIS PENGENALAN WAJAH

SINTECH (Science and Information Technology) Journal, 2021
Until now, the facial recognition method is still very difficult to do, especially when the facial confirmation process is accurate in real time. Facial recognition methods that have been tested, such as eigenface, Local Binary Pattern Histogram (LBPH),
I Nyoman Tri Anindia Putra, Ketut Sepdyana Kartini   +1 more
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RLBP: Robust Local Binary Pattern [PDF]

Procedings of the British Machine Vision Conference 2013, 2013
In this paper, we propose a simple and robust local descriptor, called the robust local binary pattern (RLBP). The local binary pattern (LBP) works very successfully in many domains, such as texture classification, human detection and face recognition. However, an issue of LBP is that it is not so robust to the noise present in the image.
Zhao Guoying, Chen Jie, Pietikäinen Matti, Kellokumpu Vili-Petteri   +3 more
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Sparse Multiscale Local Binary Patterns [PDF]

Procedings of the British Machine Vision Conference 2006, 2006
In a Local Binary Pattern (LBP) representation, circular point features are taken in their entirety as predicates and restricted to unif orm patterns with limited scales of small numbers of features in order to avoid large bin complexity. Such a design cannot fully exploit the discriminat ive capacity of the features available.
Y. Raja, S. Gong
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A New Fast Local Laplacian Completed Local Ternary Count (FLL-CLTC) for Facial Image Classification

IEEE Access, 2020
Face recognition is one of the most interesting areas of research areas because of its importance in authentication and security. Differentiating between different facial images is not easy because of the similarities in facial features.
Khaled M. Alalayah, Reyazur Rashid Irshad, Taha H. Rassem, Badiea Abdulkarem Mohammed   +3 more
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COVID-19 respiratory sound analysis and classification using audio textures

Frontiers in Signal Processing, 2022
Since the COVID-19 outbreak, a major scientific effort has been made by researchers and companies worldwide to develop a digital diagnostic tool to screen this disease through some biomedical signals, such as cough, and speech.
Leticia Silva, Leticia Silva, Carlos Valadão, Lucas Lampier, Denis Delisle-Rodríguez, Eliete Caldeira, Teodiano Bastos-Filho, Teodiano Bastos-Filho, Sridhar Krishnan   +8 more
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A Multiresolution Gray-Scale and Rotation Invariant Descriptor for Texture Classification

IEEE Access, 2018
Texture classification algorithms using local binary pattern (LBP) and its variants usually can achieve attractive results. However, the selected rotation invariant structural patterns in numerous LBP variants are not absolutely continuous invariant to ...
Qiqi Kou, Deqiang Cheng, Liangliang Chen, Kai Zhao   +3 more
doaj   +1 more source

EMPIRICAL EVALUATION OF LBP AND ITS DERIVATES FOR ABNORMALITY DETECTION IN MAMMOGRAM IMAGES [PDF]

ICTACT Journal on Image and Video Processing, 2014
Digital image processing techniques are useful in abnormality detection in mammogram images. Recently, texture based image segmentation of mammogram images has become popular due to its better precision and accuracy.
A. Suruliandi, G. Murugeswari
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