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Artículos de revistas sobre el tema "THEORETIC TEXTURE FEATURES"

Autor: Grafiati

Publicado: 11 de septiembre de 2023

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1

Ataky, Steve Tsham Mpinda, Diego Saqui, Jonathan de Matos, Alceu de Souza Britto Junior, and Alessandro Lameiras Koerich. "Multiscale Analysis for Improving Texture Classification." Applied Sciences 13, no. 3 (2023): 1291. http://dx.doi.org/10.3390/app13031291.

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Information from an image occurs over multiple and distinct spatial scales. Image pyramid multiresolution representations are a useful data structure for image analysis and manipulation over a spectrum of spatial scales. This paper employs the Gaussian–Laplacian pyramid to separately treat different spatial frequency bands of a texture. First, we generate three images corresponding to three levels of the Gaussian–Laplacian pyramid for an input image to capture intrinsic details. Then, we aggregate features extracted from gray and color texture images using bioinspired texture descriptors, info

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2

Hanmandlu, Madasu, and Anirban Das. "Content-based Image Retrieval by Information Theoretic Measure." Defence Science Journal 61, no. 5 (2011): 415. http://dx.doi.org/10.14429/dsj.61.1177.

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<p>Content-based image retrieval focuses on intuitive and efficient methods for retrieving images from databases based on the content of the images. A new entropy function that serves as a measure of information content in an image termed as 'an information theoretic measure' is devised in this paper. Among the various query paradigms, 'query by example' (QBE) is adopted to set a query image for retrieval from a large image database. In this paper, colour and texture features are extracted using the new entropy function and the dominant colour is considered as a visual feature for a part

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3

Thabt Saleh, Kawther, Raniah Ali Mustafa, and Haitham Salman Chyad. "Human ear print recognition based on fusion of difference theoretic texture and gradient direction pattern features." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 2 (2023): 1017. http://dx.doi.org/10.11591/ijeecs.v29.i2.pp1017-1029.

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<span lang="EN-US">Human ear recognition can be defined as a branch of biometrics that uses images of the ears to identify people. This paper provides a new ear print recognition approach depending on the combination of gradient direction pattern (GDP2) and difference theoretic texture features (DTTF) features. The region of interest (ROI), the gray scale of the ear print was cut off, noise removal by the median filter, histogram equalization, and local normalization (LN) are the first steps in this approach. After the image has been processed, it is used as input for the fusion of GDP2

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4

Lamont, Alexandra, and Nicola Dibben. "Motivic Structure and the Perception of Similarity." Music Perception 18, no. 3 (2001): 245–74. http://dx.doi.org/10.1525/mp.2001.18.3.245.

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This paper presents a theoretical and empirical investigation into the ways in which different listeners perceive similarity relationships in different kinds of music. We first extend the current understanding of similarity relations in music by drawing together theory and evidence from general cognitive psychology, cognitive psychology of music, and music theory. In the empirical study, trained musicians and nonmusicians rated the similarity of pairs of extracts from piano pieces by Beethoven (Sonata op. 10, no. 1, first movement) and Schoenberg (Klavierstüück op. 33a) and provided adjective

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5

Xu, Yuanping, Paul J. Scott, and Jiaoling Zheng. "Novel Research on a Fibration Knowledge-Based Solution for Engineered Surface Tolerances within the Modern GPS Context." International Journal of Software Engineering and Knowledge Engineering 26, no. 05 (2016): 845–95. http://dx.doi.org/10.1142/s0218194016500297.

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Geometrical product specification and verification (GPS) is the only worldwide tolerancing specification language available for unambiguously communicating functional requirements and precisely expressing geometrical tolerances of workpieces on technical drawings. Although the understanding and application of GPS are of vital importance for modern manufacturing industry, the latest GPS standards contain huge amounts of data, information and knowledge that are obscurely linked together, so they are very difficult for designers, engineers and metrologists to understand, remember and comprehensiv

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6

Demir, Güleser Kalaycı. "A Spectral Graph Theoretical Approach to Oriented Energy Features." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 01 (2017): 1755001. http://dx.doi.org/10.1142/s0218001417550011.

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In this work, we propose a novel method for determining oriented energy features of an image. Oriented energy features, useful for many machine vision applications like contour detection, texture segmentation and motion analysis, are determined from the filters whose outputs are enhanced at the edges of the image at a given orientation. We use the eigenvectors and eigenvalues of graph Laplacian for determining the oriented energy features of an image. Our method is based on spectral graph theoretical approach in which a graph is assigned complex-valued edge weights whose phases encode orientat

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7

Dong, Wu, Hongxia Bie, Likun Lu, and Yeli Li. "Blind Quality Evaluation for Screen Content Images Based on Regionalized Structural Features." Algorithms 13, no. 10 (2020): 257. http://dx.doi.org/10.3390/a13100257.

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Currently, screen content images (SCIs) are widely used in our modern society. However, since SCIs have distinctly different properties compared to natural images, traditional quality assessment methods of natural images cannot precisely evaluate the quality of SCIs. Thus, we propose a blind quality evaluation method for SCIs based on regionalized structural features that are closely relevant to the intrinsic quality of SCIs. Firstly, the features of textual and pictorial regions of SCIs are extracted separately. For textual regions, since they contain noticeable structural information, we pro

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8

Gao, Peng, Ian MacKay, Andrea Gruber, et al. "Wetting Characteristics of Laser-Ablated Hierarchical Textures Replicated by Micro Injection Molding." Micromachines 14, no. 4 (2023): 863. http://dx.doi.org/10.3390/mi14040863.

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Texturing can be used to functionalize the surface of plastic parts and, in particular, to modify the interaction with fluids. Wetting functionalization can be used for microfluidics, medical devices, scaffolds, and more. In this research, hierarchical textures were generated on steel mold inserts using femtosecond laser ablation to transfer on plastic parts surface via injection molding. Different textures were designed to study the effects of various hierarchical geometries on the wetting behavior. The textures are designed to create wetting functionalization while avoiding high aspect ratio

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9

Chen, L. R., X. Z. Xiao, L. Yu, H. J. Chu, and H. L. Duan. "Texture evolution and mechanical behaviour of irradiated face-centred cubic metals." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474, no. 2210 (2018): 20170604. http://dx.doi.org/10.1098/rspa.2017.0604.

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A physically based theoretical model is proposed to investigate the mechanical behaviour and crystallographic texture evolution of irradiated face-centred cubic metals. This model is capable of capturing the main features of irradiated polycrystalline materials including irradiation hardening, post-yield softening and plasticity localization. Numerical results show a good agreement with experimental data for both unirradiated and irradiated stress–strain relationships. The study of crystallographic texture reveals that the initial randomly distributed texture of unirradiated metals under tensi

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10

Han, Jiaying, Yiqi Jiang, Xinrui Li, and Qing Li. "Conical Grinding Wheel Ultrasonic-Assisted Grinding Micro-Texture Surface Formation Mechanism." Machines 11, no. 4 (2023): 428. http://dx.doi.org/10.3390/machines11040428.

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The rotating ultrasonic-assisted grinding (RUAG) experiment of the conical grinding wheel generated the intermittent pit-shaped micro-texture on the surface of the workpiece, reducing thermal damage and improving the lubrication characteristics compared with conventional grinding (CG). To further optimize the surface properties, this paper studied the formation mechanism of micro-texture. This study used as basis the theory that micro-debris volume equals the macroscopic material removal one to establish the mathematical equation of grinding depth. Thereafter, formulas of micro-texture feature

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11

Rout, Nibedita, Jinlian Hu, George Baciu, Priyabrata Pattanaik, K. Nakkeeran, and Asimananda Khandual. "Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-II." Electronics 12, no. 9 (2023): 2135. http://dx.doi.org/10.3390/electronics12092135.

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The extended application of device-dependent systems’ vision is growing exponentially, but these systems face challenges in precisely imitating the human perception models established by the device-independent systems of the Commission internationale de l’éclairage (CIE). We previously discussed the theoretical treatment and experimental validation of developing a calibrated integrated sphere imaging system to imitate the visible spectroscopy environment. The RGB polynomial function was derived to obtain a meaningful interpretation of color features. In this study, we dyed three different type

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12

Wang, Min, Congyan Lang, Liqian Liang, Songhe Feng, Tao Wang, and Yutong Gao. "Fine-Grained Semantic Image Synthesis with Object-Attention Generative Adversarial Network." ACM Transactions on Intelligent Systems and Technology 12, no. 5 (2021): 1–18. http://dx.doi.org/10.1145/3470008.

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Semantic image synthesis is a new rising and challenging vision problem accompanied by the recent promising advances in generative adversarial networks. The existing semantic image synthesis methods only consider the global information provided by the semantic segmentation mask, such as class label, global layout, and location, so the generative models cannot capture the rich local fine-grained information of the images (e.g., object structure, contour, and texture). To address this issue, we adopt a multi-scale feature fusion algorithm to refine the generated images by learning the fine-grain

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13

Liu, Xiaoliang, Xiaoming Huang, Jian Zhang, and Weitao Sun. "Influence mechanism of surface texture on the output performance of an ultrasonic motor." Industrial Lubrication and Tribology 73, no. 5 (2021): 750–55. http://dx.doi.org/10.1108/ilt-02-2021-0053.

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Purpose The purpose of this study is to investigate the influence mechanism of different interface component surface textures on the ultrasonic motor (USM) output performance. Design/methodology/approach The energy transmission mechanism of the traveling-wave ultrasonic motor 60 (TRUM-60) was numerically and experimentally investigated by fabricating dimple textures with different feature types on the friction material and the stator. Findings Textured friction material can increase the contact range effectively, and thus, can improve the friction characteristics of the interface and the outpu

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14

Rout, Nibedita, George Baciu, Priyabrata Pattanaik, K. Nakkeeran, and Asimananda Khandual. "Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-I." Electronics 11, no. 23 (2022): 3887. http://dx.doi.org/10.3390/electronics11233887.

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Numerous imaging applications and analyses demand human perception, and color space transformation of device-dependent tri-band color interpretation (RGB) to device-independent CIE color space standards needs human intervention. The imaging acquisition environment, theoretical conversion errors, viewing geometry, well-defined illumination uniformity, and calibration protocols limit their precision and applicability. It is unfortunate that in most image processing applications, the spectral data are either unavailable or immeasurable. This study is based on developing a novel integrating sphere

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15

Igual, Francisco D., Rafael Mayo, Timothy DR Hartley, Ümit V. Çatalyürek, Antonio Ruiz, and Manuel Ujaldon. "Color and texture analysis using emerging parallel architectures." International Journal of High Performance Computing Applications 25, no. 4 (2010): 404–27. http://dx.doi.org/10.1177/1094342010390340.

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While image texture is effective for use in pattern-recognition and image-analysis algorithms, textural features are time-consuming to calculate on standard CPUs. Therefore, we present novel implementations of textural-feature algorithms on graphics processors (GPUs), enabling fast color and texture analysis. Since different textural-feature calculations exhibit diverse characteristics, we focus on using general and algorithm-specific techniques to exploit the inherent parallelism and computational power of a GPU. Common operations required during the textural-feature pipeline range from strea

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16

Ogleznev, V. V. "The Problem of Definition of Legal Concepts with “Open Texture”." Pravosudie / Justice 2, no. 1 (2020): 150–61. http://dx.doi.org/10.37399/issn2686-9241.2020.1.150-161.

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Introduction: The article discusses the problems associated with the definition of legal concepts which have the feature of “open texture”. The introduction presents the nature and meaning of “open texture”, which is understood as a special kind of indeterminacy. Such concepts are considered in the form in which they were postulated in the works of the Austrian linguistic philosopher Friedrich Waismann and the British legal philosopher Herbert Hart. Theoretical Basis. Methods. It is contested that, in Hart’s interpretation, “open texture” appears in legal concepts in borderline cases, when the

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17

Ogleznev, V. V. "The Problem of Definition of Legal Concepts with “Open Texture”." Pravosudie / Justice 2, no. 1 (2020): 150–61. http://dx.doi.org/10.37399/issn2686-9241.2020.1.150-161.

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Introduction: The article discusses the problems associated with the definition of legal concepts which have the feature of “open texture”. The introduction presents the nature and meaning of “open texture”, which is understood as a special kind of indeterminacy. Such concepts are considered in the form in which they were postulated in the works of the Austrian linguistic philosopher Friedrich Waismann and the British legal philosopher Herbert Hart. Theoretical Basis. Methods. It is contested that, in Hart’s interpretation, “open texture” appears in legal concepts in borderline cases, when the

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18

Yang, Yu Fen, Zhen Nan Han, and Jin Bao Li. "The Correlation of Assessment Parameters on Geometrical Features of SurfaceTexture." Advanced Materials Research 145 (October 2010): 49–56. http://dx.doi.org/10.4028/www.scientific.net/amr.145.49.

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The method quantitatively analyzing the correlation of assessment parameters on geometrical features of the surface texture with the approach degree theory of fuzzy mathematics is put forward, and the issue that the information provided by assessment parameters on indicating microscopic geometrical features of the surface texture is only analyzed qualitatively not quantitatively is solved accordingly. The experimental results clarify the correlation and the operational performance of the various assessment parameters; what’s more, it provides the reliable theoretical basis for the reasonable c

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19

Naseem, Imran, Duc-Son Pham, and Svetha Venkatesh. "A novel information theoretic approach to wavelet feature selection for texture classification." Computers & Electrical Engineering 39, no. 2 (2013): 319–25. http://dx.doi.org/10.1016/j.compeleceng.2012.11.003.

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20

Susan, Seba, and Madasu Hanmandlu. "Difference theoretic feature set for scale-, illumination- and rotation-invariant texture classification." IET Image Processing 7, no. 8 (2013): 725–32. http://dx.doi.org/10.1049/iet-ipr.2012.0527.

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21

Chen, Chang, and Hua Zhu. "Visual-inertial SLAM method based on optical flow in a GPS-denied environment." Industrial Robot: An International Journal 45, no. 3 (2018): 401–6. http://dx.doi.org/10.1108/ir-01-2018-0002.

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Purpose This study aims to present a visual-inertial simultaneous localization and mapping (SLAM) method for accurate positioning and navigation of mobile robots in the event of global positioning system (GPS) signal failure in buildings, trees and other obstacles. Design/methodology/approach In this framework, a feature extraction method distributes features on the image under texture-less scenes. The assumption of constant luminosity is improved, and the features are tracked by the optical flow to enhance the stability of the system. The camera data and inertial measurement unit data are tig

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22

Jurczyszyn, Kamil, Tomasz Gedrange, and Marcin Kozakiewicz. "Theoretical Background to Automated Diagnosing of Oral Leukoplakia: A Preliminary Report." Journal of Healthcare Engineering 2020 (September 14, 2020): 1–7. http://dx.doi.org/10.1155/2020/8831161.

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Oral leukoplakia represents the most common oral potentially malignant disorder, so early diagnosis of leukoplakia is important. The aim of this study is to propose an effective texture analysis algorithm for oral leukoplakia diagnosis. Thirty-five patients affected by leukoplakia were included in this study. Intraoral photography of normal oral mucosa and leukoplakia were taken and processed for texture analysis. Two features of texture, run length matrix and co-occurrence matrix, were analyzed. Difference was checked by ANOVA. Factor analysis and classification by the artificial neural netwo

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23

Kaneko, Hiroshi. "Fractal feature and texture analysis." Systems and Computers in Japan 19, no. 8 (1988): 28–37. http://dx.doi.org/10.1002/scj.4690190803.

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24

Hu, Yanzhu, Song Wang, and Xinbo Ai. "Research of the Vibration Source Tracking in Phase-Sensitive Optical Time-Domain Reflectometry Signals Based by Image Processing Method." Algorithms 11, no. 8 (2018): 117. http://dx.doi.org/10.3390/a11080117.

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This paper aims to improve the source tracking efficiency of distributed vibration signals generated by phase-sensitive optical time-domain reflectometry (Φ-OTDR). Considering the two dimensions (time and length) of Φ-OTDR signals, the authors saved and processed these signals as images after particle filtering. The filtering method could save 0.1% of hard drive space without sacrificing the original features of the signals. Then, an integrated feature extraction method was proposed to further process the generated image. The method combines three individual extraction methods, namely, texture

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25

Ostapovich, Kirill V., and Peter V. Trusov. "Reduced Statistical Representation of Crystallographic Textures Based on Symmetry-Invariant Clustering of Lattice Orientations." Crystals 11, no. 4 (2021): 336. http://dx.doi.org/10.3390/cryst11040336.

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As proven in numerous experimental and theoretical studies, physical and mechanical properties of materials are determined by their internal structure. In the particular case of polycrystalline metals and alloys, an important role is given to the orientation distributions of crystalline lattices, or, in other words, crystallographic textures. Physically reasonable models of texture formation are highly demanded in modern Material Science and Engineering since they can provide an efficient tool for designing polycrystalline products with improved operational characteristics. Models of interest

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26

Huang, Qicai. "Adaptive Extraction of Oil Painting Texture Features Based on Reaction Diffusion Equation." Advances in Mathematical Physics 2021 (November 3, 2021): 1–11. http://dx.doi.org/10.1155/2021/4464985.

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The oil painting retrieval technology based on the reaction diffusion equation has attracted widespread attention in the fields of oil painting processing and pattern recognition. The description and extraction of oil painting information and the classification method of oil paintings are two important processes in content-based oil painting retrieval. Inspired by the restoration and decomposition functional model of equal oil painting, we propose a reaction diffusion equation model. The new model contains two reaction diffusion equations with different principal parts. One principal part is t

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27

Yang, Jian, and Jingfeng Guo. "Image Texture Feature Extraction Method Based on Regional Average Binary Gray Level Difference Co-occurrence Matrix." International Journal of Virtual Reality 10, no. 3 (2011): 73–79. http://dx.doi.org/10.20870/ijvr.2011.10.3.2823.

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Texture feature is a measure method about relationship among the pixels in local area, reflecting the changes of image space gray levels. This paper presents a texture feature extraction method based on regional average binary gray level difference co-occurrence matrix, which combined the texture structural analysis method with statistical method. Firstly, we calculate the average binary gray level difference of eight-neighbors of a pixel to get the average binary gray level difference image which expresses the variation pattern of the regional gray levels. Secondly, the regional co-occurrence

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28

Wu, Ling, Yuanjuan Gong, Xiaoping Bai, Wei Wang, and Zhuo Wang. "Nondestructive Determination of Leaf Nitrogen Content in Corn by Hyperspectral Imaging Using Spectral and Texture Fusion." Applied Sciences 13, no. 3 (2023): 1910. http://dx.doi.org/10.3390/app13031910.

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The nitrogen content is an important indicator affecting corn plants’ growth status. Most of the standard hyperspectral imaging-based techniques for nondestructive detection of crop nitrogen content use a single feature as the input variable of the model, which reduces the generalization ability of the prediction model. To this end, a prediction model for the nitrogen content of corn leaves based on the fusion of image and spectral features is proposed. In this study, corn leaves at the modulation stage were studied, samples with different nitrogen levels were numbered, and their hyperspectral

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29

Zhang, R., Y. He, X. Yi, G. Lu, and X. Guo. "POSE-FCN SUPERPIXEL SEGMENTATION FOR BUILDING FACADES BASED ON 2D TEXTURE AND 3D LOCAL POSE-VARIED SEMANTIC FEATURES." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2022 (May 17, 2022): 203–10. http://dx.doi.org/10.5194/isprs-annals-v-2-2022-203-2022.

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Abstract. The extraction of building facades based on image sequences has a great contribution to the construction of digital realistic cities. The superpixel segmentation algorithm is a pre-processing tool for segmentation because of its advantages of fast speed, universality and great accuracy. However, the 2D features are less reliable because building facades usually have complex texture and geometric feature. It is difficult to obtain accurate detail information of the façades by clustering the superpixels. Moreover, the process of acquiring building image sequences is easily disturbed by

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30

Ramazankhani, Fahimeh, Mahdi Yazdian-Dehkord, and Mehdi Rezaeian. "Feature Fusion and NRML Metric Learning for Facial Kinship Verification." JUCS - Journal of Universal Computer Science 29, no. 4 (2023): 326–48. http://dx.doi.org/10.3897/jucs.89254.

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Features extracted from facial images are used in various fields such as kinship verification. The kinship verification system determines the kin or non-kin relation between a pair of facial images by analysing their facial features. In this research, different texture and color features have been used along with the metric learning method, to verify the kinship for the four kinship relations of father-son, father-daughter, mother-son and mother-daughter. First, by fusing effective features, NRML metric learning used to generate the discriminative feature vector, then SVM classifier used to ve

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31

Ghosh, Soulib, S. K. Khalid Hassan, Ali Hussain Khan, Ankur Manna, Showmik Bhowmik, and Ram Sarkar. "Application of texture-based features for text non-text classification in printed document images with novel feature selection algorithm." Soft Computing 26, no. 2 (2021): 891–909. http://dx.doi.org/10.1007/s00500-021-06260-9.

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32

Mustafa, Saleem, Arfan Jaffar, Muhammad Waseem Iqbal, Asma Abubakar, Abdullah S. Alshahrani, and Ahmed Alghamdi. "Hybrid Color Texture Features Classification Through ANN for Melanoma." Intelligent Automation & Soft Computing 35, no. 2 (2023): 2205–18. http://dx.doi.org/10.32604/iasc.2023.029549.

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Zhao, Wenju, Fangfang Ma, Haiying Yu, and Zhaozhao Li. "Inversion Model of Salt Content in Alfalfa-Covered Soil Based on a Combination of UAV Spectral and Texture Information." Agriculture 13, no. 8 (2023): 1530. http://dx.doi.org/10.3390/agriculture13081530.

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This study aimed to investigate how the combination of texture information and spectral index affects the accuracy of the soil salinity inversion model. Taking the Bianwan Farm in Jiuquan City, Gansu Province, China as the research area, the multi-spectral data and soil salinity data at 0–15 cm, 15–30 cm and 30–50 cm depths in the sampling area under alfalfa coverage were collected, and spectral reflectance and texture features were obtained from a multispectral image. Moreover, the red-edge band was introduced to improve the spectral index, and gray correlation analysis was utilized to screen

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Liu, Jinping, Jiezhou He, Zhaohui Tang, Pengfei Xu, Wuxia Zhang, and Weihua Gui. "Characterization of Complex Image Spatial Structures Based on Symmetrical Weibull Distribution Model for Texture Pattern Classification." Complexity 2018 (December 2, 2018): 1–23. http://dx.doi.org/10.1155/2018/6163787.

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Texture pattern classification has long been an essential issue in computer vision (CV). However, texture is a kind of perceptual concept of human beings in scene observation or content understanding, which cannot be defined or described clearly in CV. Visually, the visual appearance of the complex spatial structure (CSS) of texture pattern (TP) generally depends on the random organization (or layout) of local homogeneous fragments (LHFs) in the imaged surface. Hence, it is essential to investigate the latent statistical distribution (LSD) behavior of LHFs for distinctive CSS feature character

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Yang, Yu-Guang, Yong-Ce Zhang, Xiu-Bo Chen, Yi-Hua Zhou, and Wei-Min Shi. "Eliminating the texture features in visually meaningful cipher images." Information Sciences 429 (March 2018): 102–19. http://dx.doi.org/10.1016/j.ins.2017.11.009.

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36

Richards, Chloe, Asma Slaimi, Noel E. O’Connor, Alan Barrett, Sandra Kwiatkowska, and Fiona Regan. "Bio-inspired Surface Texture Modification as a Viable Feature of Future Aquatic Antifouling Strategies: A Review." International Journal of Molecular Sciences 21, no. 14 (2020): 5063. http://dx.doi.org/10.3390/ijms21145063.

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The imitation of natural systems to produce effective antifouling materials is often referred to as “biomimetics”. The world of biomimetics is a multidisciplinary one, needing careful understanding of “biological structures”, processes and principles of various organisms found in nature and based on this, designing nanodevices and nanomaterials that are of commercial interest to industry. Looking to the marine environment for bioinspired surfaces offers researchers a wealth of topographies to explore. Particular attention has been given to the evaluation of textures based on marine organisms t

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37

Martey, Ezekiel Mensah, Hang Lei, Xiaoyu Li, and Obed Appiah. "Image Representation Using Stacked Colour Histogram." Algorithms 14, no. 8 (2021): 228. http://dx.doi.org/10.3390/a14080228.

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Image representation plays a vital role in the realisation of Content-Based Image Retrieval (CBIR) system. The representation is performed because pixel-by-pixel matching for image retrieval is impracticable as a result of the rigid nature of such an approach. In CBIR therefore, colour, shape and texture and other visual features are used to represent images for effective retrieval task. Among these visual features, the colour and texture are pretty remarkable in defining the content of the image. However, combining these features does not necessarily guarantee better retrieval accuracy due to

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38

Alim, Affan, Imran Naseem, Roberto Togneri, and Mohammed Bennamoun. "The most discriminant subbands for face recognition: A novel information-theoretic framework." International Journal of Wavelets, Multiresolution and Information Processing 16, no. 05 (2018): 1850040. http://dx.doi.org/10.1142/s0219691318500406.

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In this paper, we propose a consolidated framework for the automatic selection of the most discriminant subbands for the problem of face recognition. Essentially, the face images are transformed into textures using the linear binary pattern (LBP) approach, these texturized-faces undergo the wavelet packet decomposition resulting in several subband images. We propose to use the energy features to effectively represent these subband images. The underlying statistical patterns of the data are harnessed in form of information-theoretic metrics to select the most discriminant subbands. The proposed

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Muntean, Delia Doris, Maria Bădărînză, Paul Andrei Ștefan, et al. "The Diagnostic Value of MRI-Based Radiomic Analysis of Lacrimal Glands in Patients with Sjögren’s Syndrome." International Journal of Molecular Sciences 23, no. 17 (2022): 10051. http://dx.doi.org/10.3390/ijms231710051.

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This study aimed to assess the effectiveness of MRI-based texture features of the lacrimal glands (LG) in augmenting the imaging differentiation between primary Sjögren’s Syndrome (pSS) affected LG and healthy LG, as well as to emphasize the possible importance of radiomics in pSS early-imaging diagnosis. The MRI examinations of 23 patients diagnosed with pSS and 23 healthy controls were retrospectively included. Texture features of both LG were extracted from a coronal post-contrast T1-weighted sequence, using a dedicated software. The ability of texture features to discriminate between healt

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Pereira Gonçalves, M. A., Carlos Escorihuela-Sayalero, Pablo Garca-Fernández, Javier Junquera, and Jorge Íñiguez. "Theoretical guidelines to create and tune electric skyrmion bubbles." Science Advances 5, no. 2 (2019): eaau7023. http://dx.doi.org/10.1126/sciadv.aau7023.

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Researchers have long wondered whether ferroelectrics may present topological textures akin to magnetic skyrmions and chiral bubbles, the results being modest thus far. An electric equivalent of a typical magnetic skyrmion would rely on a counterpart of the Dzyaloshinskii-Moriya interaction and seems all but impossible; further, the exotic ferroelectric orders reported to date rely on specific composites and superlattices, limiting their generality and properties. Here, we propose an original approach to write topological textures in simple ferroelectrics in a customary manner. Our second-prin

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Ju, Hye Min, Byung-Chul Kim, Ilhan Lim, Byung Hyun Byun, and Sang-Keun Woo. "Estimation of an Image Biomarker for Distant Recurrence Prediction in NSCLC Using Proliferation-Related Genes." International Journal of Molecular Sciences 24, no. 3 (2023): 2794. http://dx.doi.org/10.3390/ijms24032794.

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This study aimed to identify a distant-recurrence image biomarker in NSCLC by investigating correlations between heterogeneity functional gene expression and fluorine-18-2-fluoro-2-deoxy-D-glucose positron emission tomography (18F-FDG PET) image features of NSCLC patients. RNA-sequencing data and 18F-FDG PET images of 53 patients with NSCLC (19 with distant recurrence and 34 without recurrence) from The Cancer Imaging Archive and The Cancer Genome Atlas Program databases were used in a combined analysis. Weighted correlation network analysis was performed to identify gene groups related to dis

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Peng, Yongfang, Shengwei Tian, Long Yu, Yalong Lv, and Ruijin Wang. "A Joint Approach to Detect Malicious URL Based on Attention Mechanism." International Journal of Computational Intelligence and Applications 18, no. 03 (2019): 1950021. http://dx.doi.org/10.1142/s1469026819500214.

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To improve the accuracy and automation of malware Uniform Resource Locator (URL) recognition, a joint approach of Convolutional neural network (CNN) and Long-short term memory (LSTM) based on the Attention mechanism (JCLA) is proposed to identify and detect malicious URL. Firstly, the URL features including texture information, lexical information and host information are extracted and filtered, and pre-processed with encode. Then, the feature matrix more relevant to the output are chose according to the weight of the attention mechanism and input to the constructed parallel processing model c

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Wang, Xuejian, Michael C. Fairhurst, and Anne M. P. Canuto. "Improving multi-view facial expression recognition through two novel texture-based feature representations." Intelligent Data Analysis 24, no. 6 (2020): 1455–76. http://dx.doi.org/10.3233/ida-194798.

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Although several automatic computer systems have been proposed to address facial expression recognition problems, the majority of them still fail to cope with some requirements of many practical application scenarios. In this paper, one of the most influential and common issues raised in practical application scenarios when applying automatic facial expression recognition system, head pose variation, is comprehensively explored and investigated. In order to do this, two novel texture feature representations are proposed for implementing multi-view facial expression recognition systems in pract

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Oriekhova, Larysa, Petro Andriichuk, Tetyana Shnurenko, Volodymyr Horobets, Valentina Sinelnikova, and Ivan Sinelnikov. "The Research of Computer Simulation of Textual Dimension in the Context of the Musical Discourse." Postmodern Openings 13, no. 3 (2022): 310–22. http://dx.doi.org/10.18662/po/13.3/491.

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The relevance of the study is determined by the need to rethink musical art as a value orientation in the period of postmodernity. The purpose of the study is to determine the features of the textual dimension of musical discourse as a feature of the postmodern value perception of musical art in combination with the information and computerization of society. The purpose of the article is to show the basic context of the textual dimension of musical discourse. This research shows a holistic analysis of musical art in the context of discourse analysis and innovative modeling, which in the futur

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Wu, Jinlong, Decong Zheng, Zhiming Wu, Haiyan Song, and Xiaoxiang Zhang. "Prediction of Buckwheat Maturity in UAV-RGB Images Based on Recursive Feature Elimination Cross-Validation: A Case Study in Jinzhong, Northern China." Plants 11, no. 23 (2022): 3257. http://dx.doi.org/10.3390/plants11233257.

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Buckwheat is an important minor grain crop with medicinal and edible functions. The accurate judgment of buckwheat maturity is beneficial to reduce harvest losses and improve yield. With the rapid development of unmanned aerial vehicle (UAV) technology, it has been widely used to predict the maturity of agricultural products. This paper proposed a method using recursive feature elimination cross-validation (RFECV) combined with multiple regression models to predict the maturity of buckwheat in UAV-RGB images. The images were captured in the buckwheat experimental field of Shanxi Agricultural U

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Hansen, Martje, and Jens Hessmann. "Researching linguistic features of text genres in a DGS corpus." Sign Language and Linguistics 18, no. 1 (2015): 1–40. http://dx.doi.org/10.1075/sll.18.1.01han.

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In this article, we investigate the referential and textual functions of finger loci, that is, the pointing towards one or more fingers of the weak hand in signed discourse. The first part of the article deals with the theoretical discussion about referentiality and the related notions of definiteness and specificity in the literature on spoken languages. The second empirical part of the article shows that the use of finger loci in German Sign Language (DGS) varies according to the genre of signed discourse, fulfilling not only referential but also textual functions. Furthermore, formal variat

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D'Elia, Ciro, Simona Ruscino, Maurizio Abbate, Bruno Aiazzi, Stefano Baronti, and Luciano Alparone. "SAR Image Classification Through Information-Theoretic Textural Features, MRF Segmentation, and Object-Oriented Learning Vector Quantization." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7, no. 4 (2014): 1116–26. http://dx.doi.org/10.1109/jstars.2014.2304700.

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Rajabova, Mashhura. "Harmonic and Fret Features of "Tanovar" Processing by A. F. Kozlovsky and A. Nabiev." Eurasian music science journal, no. 1 (June 18, 2021): 95–105. http://dx.doi.org/10.52847/eamsj/vol_2021_issue_1/55.

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In the modern musicology of our country, the issues of the modal structure of national music in its folk and classical branches are the most relevant. And they require a detailed study of the historical and theoretical aspects of fret thinking both in traditional classical and folk Uzbek music, and in the works of composers of our country. The article deals with some theoretical and historical aspects in the use of the means of musical expression of two composers of Uzbekistan: A. F. Kozlovsky and A. Nabiev. A brief comparative analysis of the stylistic features of orchestral and piano process

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HAYASHI, S., T. MINEMOTO, H. TAKAKURA, and Y. HAMAKAWA. "Influence of texture feature size on spherical silicon solar cells." Rare Metals 25, no. 6 (2006): 115–20. http://dx.doi.org/10.1016/s1001-0521(07)60056-4.

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Sheu, C. Y., F. Kurz, and P. Angelo. "AUTOMATIC 3D LANE MARKING RECONSTRUCTION USING MULTI-VIEW AERIAL IMAGERY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-1 (September 26, 2018): 147–54. http://dx.doi.org/10.5194/isprs-annals-iv-1-147-2018.

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<p><strong>Abstract.</strong> The 3D information of road infrastructures are gaining importance with the development of autonomous driving. The exact absolute position and height of lane markings, for example, support lane-accurate localization. Several approaches have been proposed for the 3D reconstruction of line features from multi-view airborne optical imagery. However, standard appearance-based matching approaches for 3D reconstruction are hardly applicable on lane markings due to the similar color profile of all lane markings and the lack of textures in their neighbori

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