Results 21 to 30 of about 125,098 (262)
Texture features for object salience [PDF]
Image and Vision Computing, 2017 Although texture is important for many vision-related tasks, it is not used in most salience models. As a consequence, there are images where all existing salience algorithms fail.
Kasim Terzic +2 more
openaire +4 more sources
Remote 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
Texture classification with thousands of features [PDF]
Procedings 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
Science 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
Frontiers 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
Frontiers 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
Gray-level invariant Haralick texture features.
PLoS 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
Remote 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
Jurnal 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
Textural features in flower classification
Mathematical and Computer Modelling, 2011 In this work, we investigate the effect of texture features for the classification of flower images. A flower image is segmented by eliminating the background using a threshold-based method. The texture features, namely the color texture moments, gray-level co-occurrence matrix, and Gabor responses, are extracted, and combinations of these three are ...
Guru, D. S. +2 more
openaire +2 more sources