Results 61 to 70 of about 687,695 (187)
Comparative Study on Local Binary Patterns for Mammographic Density and Risk Scoring
Breast density is considered to be one of the major risk factors in developing breast cancer. High breast density can also affect the accuracy of mammographic abnormality detection due to the breast tissue characteristics and patterns.
Minu George, Reyer Zwiggelaar
doaj +1 more source
Classification of wood defect images using local binary pattern variants
This paper presents an analysis of the statistical texture representation of the Local Binary Pattern (LBP) variants in the classification of wood defect images.
Rahillda Nadhirah Norizzaty Rahiddin +5 more
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Compact descriptor for local feature using dominating centre‐symmetric local binary pattern
The authors propose a terse texture feature, called the dominant centre‐symmetric local binary pattern (DCSLBP), which has similar distinctiveness and half dimension compared against original centre‐symmetric local binary pattern (CS‐LBP).
Yingying Li +3 more
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Texture Representation Through Overlapped Multi-Oriented Tri-Scale Local Binary Pattern
This paper ideates a novel texture descriptor that retains its classification accuracy under varying conditions of image orientation, scale, and illumination.
Fawad +7 more
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PENGENALAN IRIS MENGGUNAKAN FITUR LOCAL BINARY PATTERN DAN RBF CLASSIFIER
Iris merupakan bagian dari mata yang memiliki keunikan. Keunikan pada iris ini menjadi alasan iris digunakan sebagai identitas seperti sidik jari,dan suara. Dibandingkan dengan sidik jari, iris memiliki kelebihan karena letak iris yang lebih terlindungi.
Muhammad Ezar Al Rivan, Siska Devella
doaj +1 more source
Combined local search strategy for learning in networks of binary synapses
Learning in networks of binary synapses is known to be an NP-complete problem. A combined stochastic local search strategy in the synaptic weight space is constructed to further improve the learning performance of a single random walker.
Huang, Haiping, Zhou, Haijun
core +2 more sources
Point cloud classification is a key technology for point cloud applications and point cloud feature extraction is a key step towards achieving point cloud classification.
Yong Li +5 more
doaj +1 more source
Copy Move Image Forgery Detection using Multi-Level Local Binary Pattern Algorithm
Digital image manipulation has become increasingly prevalent due to the widespread availability of sophisticated image editing tools. In copy-move forgery, a portion of an image is copied and pasted into another area within the same image.
Marwa Emad Mahdi, Nada Hussein M Ali
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A Novel Texture Classification Method Based on Neutrosophic Truth
Texture analysis is one of the basic procedures used in solving problems in computer vision and image processing. In this study, we propose a new local binary pattern (LBP) method based on neutrosophic set.
Nuh Alpaslan
doaj +1 more source
A New LBP Variant: Corner Rhombus Shape LBP (CRSLBP)
The local binary model is a straightforward, dependable, and effective method for extracting relevant local information from images. However, because it only uses sign information in the local region, the local binary pattern (LBP) is ineffective at ...
Ibtissam Al Saidi +2 more
doaj +1 more source

