Results 51 to 60 of about 32,666,734 (297)

Facial Cosmetic Therapy Use Among Patients With Systemic Sclerosis: An Australian Cohort Study

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) is associated with numerous facial manifestations for which patients may engage in cosmetic therapies. It is unclear how patients with SSc use these therapies. This study sought to characterize patient engagement and experiences with cosmetic therapies for SSc‐related and non‐SSc–related facial changes.
Zachary Warren, Diane Apostolopoulos, Gene‐Siew Ngian, Amanda M. Saracino, Laura Ross, Nava Ferdowsi, Jennifer Walker, Cindy Hall, Kim Griggs, Susanna Proudman, Wendy Stevens, Joanne Sahhar   +11 more
wiley   +1 more source

Texture-based Image Retrieval Using Multiscale Sub-image Matching

, 2003
The paper presents research on a robust technique for texture-based image retrieval in multimedia museum collections. The aim is to be able to use a query image patch containing a single texture to retrieve images containing some area with similar ...
Fauzi, Mohammad F. A., Lewis, Paul H.
core   +1 more source

Analysis of the value of enhanced CT combined with texture analysis in the differential diagnosis of pulmonary sclerosing pneumocytoma and atypical peripheral lung cancer: a feasibility study

BMC Medical Imaging, 2022
Background As a rare benign lung tumour, pulmonary sclerosing pneumocytoma (PSP) is often misdiagnosed as atypical peripheral lung cancer (APLC) on routine imaging examinations.
Chenglong Luo, Yiman Song, Yiyang Liu, Rui Wang, Jianbo Gao, Songwei Yue, Changmao Ding   +6 more
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Fractional Differential Analysis for Texture of Digital Image

Journal of Algorithms & Computational Technology, 2007
This paper discusses the capabilities of the fractional differential approach for the detection of textural features in two-dimensional digital images and the involved Lateral Inhibition Principle, and fractional differential masks and algorithms of ...
PU Yi-Fei
doaj   +1 more source

The analysis of image feature robustness using cometcloud

Journal of Pathology Informatics, 2012
The robustness of image features is a very important consideration in quantitative image analysis. The objective of this paper is to investigate the robustness of a range of image texture features using hematoxylin stained breast tissue microarray slides
Xin Qi, Hyunjoo Kim, Fuyong Xing, Manish Parashar, David J Foran, Lin Yang   +5 more
doaj   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Analysis of GLCM Parameters for Textures Classification on UMD Database Images [PDF]

, 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   +3 more sources

Investigations on segmentation-based fractal texture for texture classification in the presence of Gaussian noise.

PLoS ONE
Texture is a significant component used for several applications in content-based image retrieval. Any texture classification method aims to map an anonymously textured input image to one of the existing texture classes.
Shamik Tiwari, Akhilesh Kumar Sharma, Izzatdin Abdul Aziz, Deepak Gupta, Antima Jain, Hairulnizam Mahdin, Senthil Athithan, Rahmat Hidayat   +7 more
doaj   +1 more source

SuroTex: Surrounding texture datasetMendeley Data

Data in Brief
Texture analysis can be considered as one of the most important topics in the field of image processing and computer vision. However, the existing texture datasets such as KTH-TIPS, KTH-TIPS2, USPTex, DTD, and ALOT still have limitations which causes the
Muhammad Ardi Putra, Wahyono, Agus Harjoko   +2 more
doaj   +1 more source