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相关概念视频

Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Color Vision01:24

Color Vision

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Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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Vision01:24

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Visual System01:26

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
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UV–Vis Spectroscopy of Conjugated Systems01:32

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Organic compounds with conjugated double bonds show strong absorption features in the UV–visible region of the electromagnetic spectrum attributed to π → π* electronic excitations. Generally, a UV–vis absorption spectrum is recorded as a plot of absorbance vs wavelength. The wavelength of maximum absorbance, which manifests as a peak in the absorption spectrum, is denoted as λmax.
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Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
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Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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基于并行编码纹理单元的新纹理光谱及其对图像分类的应用:视觉感应的潜在前景

José Trinidad Guillen Bonilla1, Nancy Elizabeth Franco Rodríguez2, Héctor Guillen Bonilla3

  • 1Departamento de Electro-Fotónica, Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Blvd-M. García Barragán 1421, Guadalajara 44430, Jalisco, Mexico.

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概括

基于并行编码纹理单元 (TS_PETU) 的新纹理光谱为工业质量控制提供了高效和快速的纹理分类. 这种方法在二进制图像和更大的观察窗口方面表现出色,显示出重要的工业应用潜力.

关键词:
高效率的高效率的高效率.图像的分类图像的分类.多类分类器是多类分类器.基于并行编码的纹理单位 (TS_PETU) 的纹理光谱.

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科学领域:

  • 计算机视觉 计算机视觉
  • 图像处理 图像处理
  • 机器学习 机器学习

背景情况:

  • 高效和快速的纹理分类对于工业质量控制至关重要.
  • 现有的方法可能无法满足实时工业流程的速度和效率要求.
  • 需要在不同的环境中进行强大的纹理分析,从受控的工业环境到自然场景.

研究的目的:

  • 提出一种新的纹理光谱,基于并行编码纹理单元 (TS_PETU) 的纹理光谱,用于高效快速的纹理分类.
  • 用两个不同的图像数据库来评估TS_PETU的性能:工业和树干.
  • 为了证明TS_PETU在工业质量控制的多类分类任务中的适用性.

主要方法:

  • 开发一种新的纹理单元,并行编码.
  • 介绍TS_PETU作为多类分类的特征向量.
  • 使用大于3x3的观察窗口来提高分类准确性.
  • 在工业图像 (Interceramic®®) 和天然树干图像上测试该方法.

主要成果:

  • 该TS_PETU分类器证明了效率和速度,满足关键的工业要求.
  • 实现了高分类效率,特别是在更大的观测窗口下.
  • 通过应用并行编码概念,减少了TS_PETU的计算时间.
  • 成功对两个不同的图像数据库进行分类,表明了多功能性.

结论:

  • 拟议的TS_PETU技术满足了工业纹理分类的效率和速度的关键要求.
  • 通过使用更大的观测窗口和并行编码,提高了该方法的有效性.
  • 对于工业应用,TS_PETU显著有前途,特别是在质量控制方面,其在分类Interceramic®®的高效率证明了这一点.