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相关概念视频

Upsampling01:22

Upsampling

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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Solvating Effects02:12

Solvating Effects

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An understanding of the solvating effect helps rationalize the relation between solvation and acidity of the compound. In addition, this also explains the relative stability of conjugate bases for compounds with different pKa values. This lesson details, in-depth, the principle of solvating effects. The strength of an acid and the stability of its corresponding conjugate base are determined using pKa values. This observed relationship is a consequence of solvation, which is the interaction...
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Deconvolution01:20

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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
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Newman Projections02:06

Newman Projections

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Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively.
The organic molecules rotate across the single bonds leading to numerous temporary three-dimensional structures of varying energy known as...
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Shape and Texture of Coarse Aggregate01:25

Shape and Texture of Coarse Aggregate

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Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
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相关实验视频

Updated: May 28, 2025

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
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Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

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SuroTex:周围纹理数据集

Muhammad Ardi Putra1, Wahyono1, Agus Harjoko1

  • 1Department of Computer Science and Electronics, Universitas Gadjah Mada, Indonesia.

Data in brief
|February 10, 2025
PubMed
概括

一个新的数据集,SuroTex,解决了现有的纹理分类数据集的局限性. 它在50个类别中提供5000张图像,尺寸均,提高了纹理分析的可靠性.

科学领域:

  • 计算机视觉 计算机视觉
  • 图像处理 图像处理

背景情况:

  • 现有的纹理数据集有局限性,包括有限数量的类和不统一的图像大小.
  • 这些局限性影响了纹理分类算法和分析的可靠性.
  • 这就需要开发更全面和标准化的纹理数据集.

研究的目的:

  • 介绍SuroTex (周围纹理) 数据集,以克服当前纹理数据集的缺陷.
  • 为一般和特定的纹理分类任务提供基准数据集.
  • 促进开发更强大的纹理分析模型.

主要方法:

  • 在2023年11月,在韩国乌尔山收集了5000个RGB图像纹理.
  • 将数据集组织成50个不同的纹理类,每个类有100个样本.
  • 确保所有图像均大小为400 × 400像素.

主要成果:

  • SuroTex数据集包括5000个高分辨率 (400×400像素) 的纹理图像.
  • 数据集被分为50个类别,为分类任务提供了更广泛的范围.
  • 统一的图像大小提高了纹理分析的一致性.

结论:

关键词:
计算机视觉 计算机视觉功能提取 功能提取图像的分类图像的分类.图像处理 图像处理材料的分类材料的分类

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  • SuroTex为推进纹理分类和一般图像分类研究提供了宝贵的资源.
  • 数据集可以作为评估新算法和开发预训练模型的基准.
  • 在SuroTex上训练的模型可以为材料分类等专业应用进行微调.