Results 41 to 50 of about 131,068 (305)

Texture feature method based on Gaussian local binary pattern

Dianzi Jishu Yingyong, 2018
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
doaj   +1 more source

Single-input and multi-input local binary pattern classification

IJAIN (International Journal of Advances in Intelligent Informatics)
Identification and classification of species are crucial for maintaining genetic diversity and supporting sustainable agricultural practices. The Toraja Buffalo, a unique type of buffalo in Indonesia, holds high cultural and economic value.
Abdul Rachman Manga, Anik Nur Handayani, Heru Wahyu Herwanto, Rosa Andrie Asmara, Roesman Ridwan Raja   +4 more
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Bleeding Detection in Gastrointestinal Images using Texture Classification and Local Binary Pattern Technique: A Review [PDF]

E3S Web of Conferences, 2020
Texture analysis has proven to be a breakthrough in many applications of computer image analysis. It has been used for classification or segmentation of images which requires an effective description of image texture. Due to high discriminative power and
Goyal Aparna, Gunjan Reena
doaj   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Effective Compression of Center Symmetric Local Binary Pattern [PDF]

Mehran University Research Journal of Engineering and Technology, 2017
In this paper, we propose simple and effective compression of CSLBP (Center Symmetric Local Binary Pattern) descriptors, which is a textured based operator and mostly used as key point descriptor.
JUNAID BABER, MAHEEN BAKHTYAR, IHSAN ULLAH, MARIAM REHMAN, MUHAMMAD KHALID   +4 more
doaj  

FLBP: Fuzzy Local Binary Patterns

, 2013
In this chapter, a variant of the Local Binary Patterns method that extends the ability of the method to cope with noisy texture by utilizing fuzzy modelling techniques is presented. The presented generalised Fuzzy Binary Patterns model is applied to the classic Local Binary Patterns method as well as to the Local Binary Patterns with Contrast measure ...
Katsigiannis, S., Keramidas, E., Maroulis, D.   +2 more
openaire   +2 more sources

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

Molecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom   +6 more
wiley   +1 more source

Local Binary Patterns on Hexagonal Image Structure [PDF]

7th IEEE International Conference on Computer and Information Technology (CIT 2007), 2007
Local binary pattern (LBP) was designed and widely used for efficient texture classification. It has been used for face recognition and has potential applications in many other research areas such as human detection. LBP provides a simple and effective way to represent patterns.
Xiangjian He, Jianmin Li, Wenjing Jia, Qiang Wu 0001, Tom Hintz   +4 more
openaire   +1 more source

X. HUANG: RIESZ-BASED VOLUME LOCAL BINARY PATTERN 1 Riesz-based Volume Local Binary Pattern and A Novel Group Expression Model for Group Happiness Intensity Analysis [PDF]

, 2015
Automatic emotion analysis and understanding has received much attention over the years in affective computing. Recently, there are increasing interests in inferring the emotional intensity of a group of people.
Xiaohua Huang, Matti Pietikäinen, Zhao, Guoying, Guoying Zhao, Pietikainen, Matti, Zhao, Gouying, Huang, Xiaohua, Roland Goecke, Dhall, Abhinav, GOECKE, Roland; id_orcid, Abhinav Dhall, Goecke, Roland   +11 more
core   +1 more source