Results 21 to 30 of about 104,493 (189)
Texture feature method based on Gaussian local binary pattern
The texture description of machine vision is important for image analysis and pattern recognition. To improve the robustness of feature describing, a texture feature based on Gaussian local binary pattern(LBP) is proposed in this paper.
Huang Chen, Fei Jiyou, Liu Xiaodong
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Multispectral palmprint recognition using Pascal coefficients-based LBP and PHOG descriptors with random sampling [PDF]
Local binary pattern (LBP) algorithm and its variants have been used extensively to analyse the local textural features of digital images with great success.
Boubchir, Larbi +3 more
core +1 more source
Local Binary Patterns Histograms (LBPH) Based Face Recognition
The human face has been broadly used in computer vision field for individual recognition. The face recognition is one of the secure ways to protect the data over the internet. In this paper we use (LBPH) Local Binary Patterns Histogram based Face Recognition.
Dr. Satya Bhushan Verma* +1 more
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Histopathological analysis is important for detection of the breast cancer (BC). Computer-aided diagnosis and detection systems are developed to assist the radiologist in the diagnosis process and to relieve the patient from unnecessary pain.
Naaman Omar
doaj +1 more source
Recognition of Facial Expressions using Local Mean Binary Pattern
In this paper, we propose a novel appearance based local feature extraction technique called Local Mean Binary Pattern (LMBP), which efficiently encodes the local texture and global shape of the face.
Mahesh M Goyani, Narendra Patel
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Analysing wear in carpets by detecting varying local binary patterns [PDF]
Currently, carpet companies assess the quality of their products based on their appearance retention capabilities. For this, carpet samples with different degrees of wear after a traffic exposure simulation process are rated with wear labels by human ...
De Keyser, Robain +5 more
core +2 more sources
Multi-scale Local Binary Pattern Histograms for Face Recognition [PDF]
A novel discriminative face representation derived by the Linear Discriminant Analysis (LDA) of multi-scale local binary pattern histograms is proposed for face recognition. The face image is first partitioned into several non-overlapping regions. In each region, multi-scale local binary uniform pattern histograms1 are extracted and concatenated into a
Chi-Ho Chan +2 more
openaire +1 more source
Ring rot caused by Botryosphaeria dothidea and anthracnose caused by Colletotrichum gloeosporioides are two important apple fruit diseases. It is critical to conduct timely and accurate distinction and diagnosis of the two diseases for apple disease ...
Qin Feng +4 more
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Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features [PDF]
In this paper, we propose Local Binary Pattern Histogram Fourier features (LBP-HF), a novel rotation invariant image descriptor computed from discrete Fourier transforms of local binary pattern (LBP) histograms. Unlike most other histogram based invariant texture descriptors which normalize rotation locally, the proposed invariants are constructed ...
Ahonen T. +3 more
openaire +1 more source
A classification algorithm based on LBP and local binary differential excitation pattern is presented for the classification of the crack and the linear mineral line on the surface of the birch veneer.
Shaoli Li, Dejian Li, Weiqi Yuan
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