Results 111 to 120 of about 371,752 (272)

Rotation and Scale Invariant Texture Classification [PDF]

, 2008
Texture classification is very important in image analysis. Content based image retrieval, inspection of surfaces, object recognition by texture, document segmentation are few examples where texture classification plays a major role.
Agarwal, Anubhav, Manohar, Madhukar
core  

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Application of Linear Discriminant Analysis Method With Gray Level Cooccurrence Matrix Method for Classification of Lung Disease Diagnosis Based on X-Ray Results

Journal of Applied Informatics and Computing
This study aims to classify lung diseases from X-ray images using a combination of Gray Level Cooccurrence Matrix (GLCM) and Linear Discriminant Analysis (LDA) methods.
Nuriana Nuriana, Zahratul Fitri, Ar Razi
doaj   +1 more source

Jumping and Refined Local Pattern for Texture Classification

IEEE Access, 2018
The local binary pattern (LBP) model is a simple and effective method of texture classification, but it is sensitive to rotational and noisy images. Although many variants of LBP are proposed by scholars, there are still several urgent problems, such as ...
Tianyu Wang, Yongsheng Dong, Chunlei Yang, Lin Wang, Lingfei Liang, Lintao Zheng, Jiexin Pu   +6 more
doaj   +1 more source

Data on the physicochemical characteristics and texture classification of soil in Bornean tropical heath forests affected by exotic Acacia mangium. [PDF]

Data Brief, 2023
Jaafar SM, Sukri RS.
europepmc   +1 more source

Review of Thin Lithium Metal Battery Anode Fabrication – Microstructure – Electrochemistry Relations

Advanced Materials, EarlyView.
Thin, lightweight lithium‐metal anodes are pivotal for practical high‐energy batteries. This review surveys processing routes that convert diverse Li precursors, e.g., ingots, melts, solutions, and vapor, into Li‐rich foils with controlled thickness, areal density, and tailored functionality.
Yuhang Hu, Zidong Chen, Yixian Wang, Haorui Hou, Bingcheng Chen, David Mitlin, Wei Liu   +6 more
wiley   +1 more source

Tongue Image Texture Classification Based on Image Inpainting and Convolutional Neural Network. [PDF]

Comput Math Methods Med, 2022
Yan J, Chen B, Guo R, Zeng M, Yan H, Xu Z, Wang Y.   +6 more
europepmc   +1 more source

Mesenchymal Stem Cell‐Inspired Microneedle Platform for NIR‐responsive Immunomodulation and Accelerated Chronic Wound Healing

Advanced Materials, EarlyView.
The research demonstrates a Mesenchymal Stem Cell‐inspired microneedle platform (MSCi@MN) that addresses chronic diabetic wounds by combining MSC‐derived extracellular nanovesicles (NV)–DNA conjugates in microneedle tips with photothermal MXene in the patch layer.
Chan Ho Moon, Hee Gyeong Ko, Hyun Lee, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Nayoung Lee, So Won Jeon, Yun‐A Kim, Jong Sang Yoon, Kyung‐Yup Cha, Min‐Ho Kang, Dong Yun Lee, Soo‐Hong Lee, Gi Doo Cha, Kisuk Yang, Donghyun Lim, Heemin Kang, Su Ryon Shin, Han Young Kim, Hyun‐Do Jung   +21 more
wiley   +1 more source

What could go wrong? Non-standardized versus standardized food texture classification. [PDF]

Int J Lang Commun Disord, 2022
Sella-Weiss O.
europepmc   +1 more source

An Inhomogeneous Bayesian Texture Model for Spatially Varying Parameter Estimation

, 2014
In statistical model based texture feature extraction, features based on spatially varying parameters achievehigher discriminative performances compared to spatially constant parameters. In this paper we formulate anovel Bayesian framework which achieves
Bennett, Michael, Dharmagunawardhana, Chathurika, Mahmoodi, Sasan, Niranjan, Mahesan   +3 more
core