Results 11 to 20 of about 125,642 (262)

Cotton Cultivated Area Extraction Based on Multi-Feature Combination and CSSDI under Spatial Constraint

open access: yesRemote Sensing, 2022
Cotton is an important economic crop, but large-scale field extraction and estimation can be difficult, particularly in areas where cotton fields are small and discretely distributed.
Yong Hong   +9 more
doaj   +1 more source

Inverse estimation of parameters for the magnetic domain via dynamics matching using visual-perceptive similarity

open access: yesScience and Technology of Advanced Materials: Methods, 2022
The estimation of parameters for the magnetic domain (i.e. magnetic domain parameters) based on their time evolution patterns created by magnetic spins is necessary in the development of magnetic materials.
Ryo Murakami   +3 more
doaj   +1 more source

Changes in carotid artery texture by ultrasound and elastin features in a murine model

open access: yesFrontiers in Cardiovascular Medicine, 2023
ObjectiveIn humans, arterial grayscale ultrasound texture features independently predict adverse cardiovascular disease (CVD) events and change with medical interventions.
Carol Mitchell   +14 more
doaj   +1 more source

Gray-level invariant Haralick texture features.

open access: yesPLoS ONE, 2019
Haralick texture features are common texture descriptors in image analysis. To compute the Haralick features, the image gray-levels are reduced, a process called quantization.
Tommy Löfstedt   +4 more
doaj   +1 more source

The Utility of Texture Analysis Based on Breast Magnetic Resonance Imaging in Differentiating Phyllodes Tumors From Fibroadenomas

open access: yesFrontiers in Oncology, 2019
Background: The preoperative diagnosis of phyllodes tumors (PTs) of the breast is critical to appropriate surgical treatment. However, reliable differentiation between PT and fibroadenoma (FA) remains difficult in daily clinical practice.
Hui Mai   +12 more
doaj   +1 more source

Landscape Similarity Analysis Using Texture Encoded Deep-Learning Features on Unclassified Remote Sensing Imagery

open access: yesRemote Sensing, 2021
Convolutional neural networks (CNNs) are known for their ability to learn shape and texture descriptors useful for object detection, pattern recognition, and classification problems.
Karim Malik, Colin Robertson
doaj   +1 more source

CORRELATION OF MANUS RADIOGRAPH IMAGE TEXTURE VALUE WITH BONE MINERAL DENSITY LUMBAR SPINE VALUE

open access: yesJurnal Neutrino: Jurnal Fisika dan Aplikasinya, 2022
Osteoporosis or bone loss is a chronic disease characterized by low bone mass accompanied by changes in micro-architecture of the bone and a decrease in the quality of bone tissue that can cause bone fragility, so that bones are easily cracked or even ...
Agus Mulyono
doaj   +1 more source

Texture classification with thousands of features [PDF]

open access: yesProcedings of the British Machine Vision Conference 2002, 2002
The Trace transform is a generalisation of the Radon transform that allows one to construct image features that do not necessarily have meaning in terms of human perception, but they measure different image characteristics. The ability of producing thousands of features from an image allows one to be selective as to which are appropriate for a ...
Alexander Kadyrov   +2 more
openaire   +1 more source

Unsupervised Texture Segmentation: Comparison of Texture Features [PDF]

open access: yesMehran University Research Journal of Engineering and Technology, 2010
Texture is an important image-content that has been utilized for different machine intelligent tasks, like those in machine vision and remote sensing, which identify objects of interest by segmenting the image texture.
AHSAN AHMAD URSANI   +2 more
doaj  

Development of 3D Chromatin Texture Analysis Using Confocal Laser Scanning Microscopy

open access: yesCellular Oncology, 2005
Introduction: Analysis of nuclear texture features as a measure of nuclear chromatin changes has been proven to be useful when measured on thin (5–6 μm) tissue sections using conventional 2D bright field microscopy.
André Huisman   +5 more
doaj   +1 more source

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