Results 21 to 30 of about 3,060,107 (301)

STNet: shape and texture joint learning through two-stream network for knowledge-guided image recognition

open access: yesFrontiers in Neuroscience, 2023
IntroductionThe human brain processes shape and texture information separately through different neurons in the visual system. In intelligent computer-aided imaging diagnosis, pre-trained feature extractors are commonly used in various medical image ...
Xijing Wang   +8 more
doaj   +1 more source

Texture Synthesis based on Feature Description

open access: yesJournal of Advanced Mechanical Design, Systems, and Manufacturing, 2012
Patch-based texture synthesis techniques from a small sample texture generate a new texture image efficiently, but one significant problem is that these existing texture synthesis algorithms suffer from structure mismatching across patch boundaries due ...
Yan GUI   +4 more
doaj   +1 more source

Three-Dimensional Texture Feature Analysis of Pulmonary Nodules in CT Images: Lung Cancer Predictive Models Based on Support Vector Machine Classifier [PDF]

open access: yesJ Digit Imaging, 2019
Ni Gao   +8 more
semanticscholar   +2 more sources

Influence of Structure and Texture Feature on Retrieval of Ramie Leaf Area Index

open access: yesAgronomy, 2023
Leaf area index (LAI), as one of the important crop field phenotypes, plays a crucial role in evaluating crop growth and yield. The remote sensing method for crop parameters monitoring makes it possible to obtain crop LAI in a large area, efficiently and
Hongyu Fu   +5 more
doaj   +1 more source

Comparative analysis of texture feature extraction techniques for rice grain classification

open access: yesIET Image Processing, 2020
: Classifications of eight different varieties of rice grain are discussed in this study based on various texture models. Four local texture feature extraction techniques are proposed and three sets of texture features (SET-A, SET-B and SET-C) are formed,
Ksh. Robert Singh, S. Chaudhury
semanticscholar   +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

An improved point feature‐based sparse stereo vision

open access: yesIET Image Processing, 2022
Since the limitation on the onboard equipment, the sparse stereo vision is becoming a suitable choice for the deployment of micro air vehicles (MAV) and small robots.
Changhao Chen   +3 more
doaj   +1 more source

Remote estimation of rice LAI based on Fourier spectrum texture from UAV image

open access: yesPlant Methods, 2019
Background The accurate estimation of rice LAI is particularly important to monitor rice growth status. Remote sensing, as a non-destructive measurement technology, has been proved to be useful for estimating vegetation growth parameters, especially at ...
Bo Duan   +6 more
doaj   +1 more source

Textural features in flower classification

open access: yesMathematical 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

A TRANSFORMATION METHOD FOR TEXTURE FEATURE DESCRIPTION UNDER DIFFERENT IMAGINE CONDITIONS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
For high spatial resolution Remote Sensing images, it is very important to investigate the transformational methods between background and target characteristics.
Z. Guan, J. Yu, T. Feng, A. Li
doaj   +1 more source

Home - About - Disclaimer - Privacy