Results 31 to 40 of about 100,090 (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. +2 more
openaire +2 more sources
An improved point feature‐based sparse stereo vision
IET 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
Plant 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
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Grinding surface roughness measurement based on the co-occurrence matrix of speckle pattern texture [PDF]
, 2006 Surface speckle pattern intensity distribution resulting from laser light scattering from a rough surface contains various information about the surface geometrical and physical properties.A surface roughness measurement technique based on the texture ...
Gledhill, Duke +4 more
core +1 more source
Journal of Imaging, 2018 Recently, texture features have been widely used for historical document image analysis. However, few studies have focused exclusively on feature selection algorithms for historical document image analysis.
Maroua Mehri +5 more
doaj +1 more source
Identification of cashmere and wool based on LBP and GLCM texture feature selection
Journal of Engineered Fibers and Fabrics, 2023 There are invalid and redundant features in the texture feature extraction method of cashmere and wool fibers, which leads to the low recognition accuracy.
Yaolin Zhu +4 more
doaj +1 more source
Rotationally invariant texture based features [PDF]
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002 Content-based retrieval is ultimately dependent on the features used for the annotation of data and its efficiency is dependent on the invariance and robust properties of these features. For texture-based features an important form of invariance is rotational invariance.
Paul R. Hill +2 more
openaire +2 more sources
Classification of ordered texture images using regression modelling and granulometric features [PDF]
, 2011 Structural information available from the granulometry of an image has been used widely in image texture analysis and classification. In this paper we present a method for classifying texture images which follow an intrinsic ordering of textures, using ...
Stephen Marshall +5 more
core +1 more source
A TRANSFORMATION METHOD FOR TEXTURE FEATURE DESCRIPTION UNDER DIFFERENT IMAGINE CONDITIONS [PDF]
The 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
Frontiers in Plant Science, 2023 Plant potassium content (PKC) is a crucial indicator of crop potassium nutrient status and is vital in making informed fertilization decisions in the field.
YanPeng Ma +9 more
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