Results 31 to 40 of about 93,638 (313)

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., Kumar, Y. H. S., Manjunath, S.   +2 more
openaire   +2 more sources

Mimicking human texture classification [PDF]

SPIE Proceedings, 2005
In an attempt to mimic human (colorful) texture classification by a clustering algorithm three lines of research have been encountered, in which as test set 180 texture images (both their color and gray-scale equivalent) were drawn from the OuTex and VisTex databases.
Rikxoort, E.M. van, Broek, E.L. van den, Schouten, T.E.   +2 more
openaire   +5 more sources

Optimum Gabor filter design and local binary patterns for texture segmentation [PDF]

, 2008
We present a novel approach to multi-texture image segmentation based on the formation of an effective texture feature vector. Texture sub-features are derived from the output of an optimized Gabor filter.
Staunton, Richard C., Li, Ma
core   +1 more source

Classification methods for hyperspectral remote sensing images with weak texture features

Journal of Radiation Research and Applied Sciences
In order to provide method support for remote sensing image classification of weak texture region and improve the classification effect, a remote sensing image classification model for weak texture region was constructed.
Yong Wang, Mengyu Gu
doaj   +1 more source

Impact of Texture Information on Crop Classification with Machine Learning and UAV Images

Applied Sciences, 2019
Unmanned aerial vehicle (UAV) images that can provide thematic information at much higher spatial and temporal resolutions than satellite images have great potential in crop classification.
Geun-Ho Kwak, No-Wook Park
doaj   +1 more source

Comprehensive Evaluation of ImageNet-Trained CNNs for Texture-Based Rock Classification

IEEE Access
Texture perception plays a vital role in various fields, from computer vision to geology, influencing object recognition, image segmentation, and rock classification.
Dipendra J. Mandal, Hilda Deborah, Tabita L. Tobing, Mateusz Janiszewski, James W. Tanaka, Anna Lawrance   +5 more
doaj   +1 more source

Predictive Model for Oral Status in Elderly People in a Taiwanese Nursing Home Using a High-Protein Black Soybean Koji Food

Frontiers in Nutrition, 2022
With increased age, the appetite, chewing, swallowing, and digestive ability gradually decrease. Previous studies have shown that poor oral health is associated with an inadequate intake of macro and micronutrients and malnutrition.
Kai-Wei Liao, Wen-Liang Lo, Wen-Liang Lo, Chien-Yeh Hsu, Wan-Chun Chiu, Chieh-Hsi Wu, Yi-Wen Chen, Po-Chi Hsu, Hui-Yu Huang   +8 more
doaj   +1 more source

Morphological granulometry for classification of evolving and ordered texture images.

, 2011
In this work we investigate the use of morphological granulometric moments as texture descriptors to predict time or class of texture images which evolve over time or follow an intrinsic ordering of textures.
Gray, Alison, Khatun, Mahmuda, Marshall, Stephen   +2 more
core   +1 more source

Bayesian texture classification and retrieval based on multiscale feature vector [PDF]

, 2011
This paper proposes a supervised multiscale Bayesian texture classifier. The classifier exploits the dual-tree complex wavelet transform (DT-CWT) to obtain complex-valued multiscale representations of training texture samples for each texture class. The
Tjahjadi, Tardi, Turgay Celik, Tardi Tjahjadi, Çelik, Turgay   +3 more
core   +1 more source

Building Footprint Identification Using Remotely Sensed Images: A Compressed Sensing-Based Approach to Support Map Updating

Geomatics
Semantic segmentation of remotely sensed images for building footprint recognition has been extensively researched, and several supervised and unsupervised approaches have been presented and adopted.
Rizwan Ahmed Ansari, Rakesh Malhotra, Mohammed Zakariya Ansari   +2 more
doaj   +1 more source