Results 41 to 50 of about 100,090 (313)

Block-based cloud classification with statistical features and distribution of local texture features [PDF]

open access: yesAtmospheric Measurement Techniques, 2015
This work performs cloud classification on all-sky images. To deal with mixed cloud types in one image, we propose performing block division and block-based classification.
H.-Y. Cheng, C.-C. Yu
doaj   +1 more source

A multiscale approach to texture-based image retrieval

open access: yes, 2008
This 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 an area with similar texture
Fauzi, Mohammad Faizal Ahmad   +2 more
core   +1 more source

A coal-rock image feature extraction and recognition method

open access: yesGong-kuang zidonghua, 2017
A coal-rock image feature extraction and recognition method based on binary cross-diagonal texture matrix was proposed. Binary cross-diagonal texture matrix of coal-rock image is extracted firstly. Then feature vector of coal-rock image is constructed by
SUN Jiping, YANG Kun
doaj   +1 more source

Content-Dependent Image Search System for Aggregation of Color, Shape and Texture Features

open access: yesEmitter: International Journal of Engineering Technology, 2019
The existing image search system often faces difficulty to find a appropriate retrieved image corresponding to an image query. The difficulty is commonly caused by that the users’ intention for searching image is different with dominant information of ...
Arvita Agus Kurniasari   +2 more
doaj   +1 more source

Cotton Yield Estimation Based on Vegetation Indices and Texture Features Derived From RGB Image

open access: yesFrontiers in Plant Science, 2022
Yield monitoring is an important parameter to evaluate cotton productivity during cotton harvest. Nondestructive and accurate yield monitoring is of great significance to cotton production.
Yiru Ma   +8 more
doaj   +1 more source

Evaluating the gray level co-occurrence matrix-based texture features of magnetic resonance images for glioblastoma multiform patients' treatment response assessment

open access: yesJournal of Medical Signals and Sensors, 2023
Background: Medical images of cancer patients are usually evaluated qualitatively by clinical specialists which makes the accuracy of the diagnosis subjective and related to the skills of clinicians.
Sanaz Alibabaei   +4 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Texture Feature Analysis of Coke Slice Image

open access: yesJournal of Algorithms & Computational Technology, 2008
The micro optical texture structure is one of the most relevant characteristics of coke. In this paper, the texture features, especially the fractal feature, of coke slice image is analysed, and a box-counting algorithm is implemented to calculate the ...
Wang Peizhen, Wang Qinfang, Gao Shangyi
doaj   +1 more source

Experimental Evaluation of 100Cr6 Steel Microindented Surfaces Under Lubricated Nonconformal Point Contacts

open access: yesAdvanced Engineering Materials, EarlyView.
The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi   +3 more
wiley   +1 more source

Automated classification of childhood brain tumours based on texture feature [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2019
We propose a framework for automated classification between normal and abnormal biopsy samples of childhood brain tumour with emphasis on childhood medulloblastoma, a most common childhood brain tumour, using texture features.
Daisy Das   +4 more
doaj   +1 more source

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