Results 291 to 300 of about 49,054 (309)
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2005
Texture-based pixel classification has been traditionally carried out by applying texture feature extraction methods that belong to a same family (e.g., Gabor filters). However, recent work has shown that such classification tasks can be significantly improved if multiple texture methods from different families are properly integrated.
Domenec Puig, Miguel Ángel García
openaire +1 more source
Texture-based pixel classification has been traditionally carried out by applying texture feature extraction methods that belong to a same family (e.g., Gabor filters). However, recent work has shown that such classification tasks can be significantly improved if multiple texture methods from different families are properly integrated.
Domenec Puig, Miguel Ángel García
openaire +1 more source
Texture Feature Extraction From Texture Spectrum
10th Annual International Symposium on Geoscience and Remote Sensing, 2005null Dong-Chen He, null Li Wang
openaire +1 more source
3D Texture Feature Extraction and Classification Using GLCM and LBP-Based Descriptors
Applied Sciences (Switzerland), 2021Stefania Barburiceanu +2 more
exaly
Water Extraction Method Based on Multi-Texture Feature Fusion of Synthetic Aperture Radar Images
Sensors, 2021Wenbin Zhu, Zheng Dai, Xiaochun Zhu
exaly
An improved feature extraction method using texture analysis with LBP for bearing fault diagnosis
Applied Soft Computing Journal, 2020Kaplan Kaplan +2 more
exaly
Comparative analysis of texture feature extraction techniques for rice grain classification
IET Image Processing, 2020Saurabh Chaudhury
exaly
$K$-NN Regression to Improve Statistical Feature Extraction for Texture Retrieval
IEEE Transactions on Image Processing, 2011Fouad Khelifi
exaly

