Results 101 to 110 of about 93,638 (313)
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
EFFECTIVE MULTI-RESOLUTION TRANSFORM IDENTIFICATION FOR CHARACTERIZATION AND CLASSIFICATION OF TEXTURE GROUPS [PDF]
ICTACT Journal on Image and Video Processing, 2011 Texture classification is important in applications of computer image analysis for characterization or classification of images based on local spatial variations of intensity or color.
S. Arivazhagan +2 more
doaj
Analysis of GLCM Parameters for Textures Classification on UMD Database Images
, 2015 Texture analysis is one of the most important techniques that have been used in image processing for many purposes, including image classification. The texture determines the region of a given gray level image, and reflects its relevant information ...
Lu, Joan, Mohamed, Alsadegh Saleh Saied
core
Advanced Materials, EarlyView.An Aloe‐pinspired droplet electricity generator (A‐DEG) overcomes the limited energy collection zone of conventional DEGs by guiding impact droplets through a channeling midrib and artificial cuticle. The channeling midrib induces uni‐directional droplet spreading, while the artificial cuticle on the midrib further reinforces this behavior through its ...
Gibeom Lee +8 more
wiley +1 more source
Texture image analysis and texture classification methods - A review
CoRR, 2019 Tactile texture refers to the tangible feel of a surface and visual texture refers to see the shape or contents of the image. In the image processing, the texture can be defined as a function of spatial variation of the brightness intensity of the pixels. Texture is the main term used to define objects or concepts of a given image.
Laleh Armi, Shervan Fekri Ershad
openaire +2 more sources
, 2014 The optimised design and reliable measurement of surface texture are essential to guarantee the functional performance of a geometric product. Current support tools are however often limited in functionality, integrity and efficiency.
Qi, Qunfen +3 more
core +1 more source
Advances in Magnesium‐Based Thermoelectrics: A Critical Review
Advanced Materials, EarlyView.Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang +5 more
wiley +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 +6 more
doaj +1 more source
A multimodal tactile dataset for dynamic texture classification. [PDF]
Data Brief, 2023 Monteiro Rocha Lima B +3 more
europepmc +1 more source
Nonnegative Multiresolution Representation-Based Texture Image Classification
, 2015 Effective representation of image texture is important for an image-classification task. Statistical modelling in wavelet domains has been widely used to image texture representation.
Tao, Dacheng +5 more
core +1 more source