Results 111 to 120 of about 208,499 (277)

A Sub-block Based Image Retrieval Using Modified Integrated Region Matching

, 2013
This paper proposes a content based image retrieval (CBIR) system using the local colour and texture features of selected image sub-blocks and global colour and shape features of the image.
Jacob, K. Poulose, Vimina, E. R.
core  

Highly Active Cu14 Cluster Precisely Activates Autophagy Inhibitor to Amplify Cuproptosis Immunotherapy

Advanced Science, EarlyView.
An atomically precise Cu14 cluster‐mediated bond scission reaction pioneers the amplification of the antitumor immune response via synergetic cuproptosis‐associated immunogenic cell death induction and in situ autophagy blockade. ABSTRACT Transition metal‐mediated cleavage mechanisms have emerged as an effective means to mitigate the off‐target ...
Qiu‐Xu Zang, Wei‐Tong Chen, Yu‐Ying Shen, Zhao‐Yang Wang, Kai Li, Xueli Zhao, Yanjuan Sang, Xiaoyuan Chen, Shuang‐Quan Zang   +8 more
wiley   +1 more source

An Ordinal Co-occurrence Matrix Framework for Texture Retrieval

EURASIP Journal on Image and Video Processing, 2007
We present a novel ordinal co-occurrence matrix framework for the purpose of content-based texture retrieval. Several particularizations of the framework will be derived and tested for retrieval purposes.
Mari Partio, Bogdan Cramariuc, Moncef Gabbouj   +2 more
doaj   +1 more source

Quantitative Assessment of Hyperpigmentation Changes in Human Skin after Microneedle Mesotherapy Using the Gray-Level Co-Occurrence Matrix (GLCM) Method. [PDF]

J Clin Med, 2023
Wawrzyk-Bochenek I, Rahnama M, Wilczyński S, Wawrzyk A.   +3 more
europepmc   +1 more source

Implementasi Metode Gray Level Co-Occurrence Matrix Menganalisis Tekstur Kulit Wajah

sudo Jurnal Teknik Informatika
GLCM merupakan metode analisis gambar yang dapat mengukur berbagai fitur tekstur seperti kontras, korelasi, energi, dan homogenitas dari gambar bergradasi abu-abu. Skripsi ini bertujuan untuk mengeksplorasi efektivitas GLCM dalam mengekstraksi dan menganalisis informasi tekstur dari kulit wajah, serta aplikasinya dalam bidang seperti deteksi ...
Rizky Fauzan Naibaho, Indah Purnama Sari
openaire   +1 more source

Genome‐Wide Association Study Reveals Insect Genetics and Microbial Symbiont Effects on Susceptibility of Diaphorina citri to the Citrus Greening Pathogen, Candidatus Liberibacter Asiaticus

Advanced Science, EarlyView.
This study investigates the genetic and microbial factors influencing the susceptibility of Diaphorina citri to the citrus greening pathogen Candidatus Liberibacter asiaticus (CLas), employing a microbiome Genome Wide Association Study. The research identifies a key gene encoding an MFS‐type transporter contributing to CLas infectivity and abundance in
Kai Liu, Qingcui He, Zeyue Lin, Shixuan Huang, Zichun Zhong, Pingyang Zhu, Mengge Gao, Luyao Zhao, Han Jin, Guiting Wu, Gurr M. Geoff, Qunxin Han, Rui Pang   +12 more
wiley   +1 more source

Echo intensity and gray-level co-occurrence matrix analysis of soft tissue grafting biomaterials and dental implants: an in vitro ultrasonographic pilot study. [PDF]

Dentomaxillofac Radiol, 2023
Mancini L, Khehra A, Nguyen T, Barootchi S, Tavelli L.   +4 more
europepmc   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

Advanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio, Tommaso Gili, Andrea Gabrielli, Maurizio Mattia   +3 more
wiley   +1 more source

Quantitative Evaluation of the Effectiveness of Chemical Peelings in Reducing Acne Lesions Based on Gray-Level Co-Occurrence Matrix (GLCM). [PDF]

Clin Cosmet Investig Dermatol, 2022
Odrzywołek W, Deda A, Zdrada J, Wilczyński S, Błońska-Fajfrowska B, Lipka-Trawińska A.   +5 more
europepmc   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Jing Huang, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source