نتایج جستجو برای: textural analysis
تعداد نتایج: 2828351 فیلتر نتایج به سال:
The multiresolution wavelet transform is an effective procedure in texture analysis. However, many images are still compressed by the methods based on the discrete cosine transform (DCT). Thus, decompression of the inverse DCT is required to yield the textural features based on the wavelet transform for the DCT-coded image. This investigation adopts the multiresolution reordered features in tex...
The paper reports on experimental analysis of the spatial statistics (texture), as measured by wavelet frames in Lband SAR observations of tropical forest. Signatures are used to characterize the dependences of the texture measures on scale and polarization state. For detected data, experiments performed using a full resolution (12.5 m) JERS-1 image confirm that textural features provide good s...
A three-component Mixture Design was used to investigate the effect of different components of breadcrumbs, textured soy protein (TSP) and low-methoxyl pectin and their interactions on textural properties of an existing fish finger. The result indicated that the pectin had a more notable influence than TSP and breadcrumbs on all textural parameters as pectin proportion increased. At a higher pr...
Cation exchange capacity (CEC) is one of the important indices in soil fertility. Direct measurement of CEC is time consuming and expensive, especially in aridisols containing high amounts of carbonates and gypsum. Alternatively, CEC could be indirectly predicted through pedotransfer functions (PTF). The objective of this study was to predict CEC using class and continuous PTFs.A data set (n = ...
In this paper, we present a method for extraction and attribute selection for textural features classification using the fusion of information from the mediolateral oblique (MLO) view and craniocaudal (CC) views. In the extraction step, wavelet coefficients together with singular value decomposition technique were applied to reduce the number of textural attributes. For the selection stage and ...
204 words) We have developed a novel method to derive scale information from quasi-stationary images, which relies on a rotation-guided multi-scale analysis of features derived from Gray Level Co-occurrence Matrices (GLCM). Unlike other methods for multi-scale texture characterization, our method does not require rotation-invariant textural features, but instead uses orientation information der...
Texture plays a crucial role in computer vision, providing valuable information about image regions. Log Gabor filters that mimic the human eye’s visual cortex are used as feature extractors to identify medicinal plants based on leaf textural features. This method was tested dataset developed from Centre of Plant Medicine Research, Ghana, consisting forty-nine (49) plant species well Fla...
We provide a thorough experimental evaluation of several state-of-the-art textural features on four representative and extensive image databases. Each of the experimental textural databases ALOT, Bonn BTF, UEA Uncalibrated, and KTH-TIPS2 aims at specific part of realistic acquisition conditions of surface materials represented as multispectral textures. The extensive experimental evaluation pro...
Porous organic–inorganic materials with tunable textural characteristics were synthesized using the topdown process by intercalating silsesquioxanes and polyhedral oligomeric siloxanes of different types between crystalline zeolite-derived layers. The influence of key parameters such as (i) linker nature (pure hydrocarbon, S-, N-containing); (ii) chain length in alkyland aryl bis(trialkoxysilyl...
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