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Relevant bibliographies by topics / THEORETIC TEXTURE FEATURES

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Academic literature on the topic 'THEORETIC TEXTURE FEATURES'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "THEORETIC TEXTURE FEATURES"

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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