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Machine learningImage enhancement

直方图均衡化

直方图均衡化是一种图像预处理技术,它重新分配像素强度以提高对比度和细节可见性。通过将像素值直方图均匀地分布在可用范围内,直方图均衡化可以增强对比度差的图像,使特征在视觉上更清晰,并且更容易进行算法处理。

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来源

  1. Gonzalez, R. C., & Woods, R. E. (1992). Digital Image Processing. Addison-Wesley, 2nd edition, Chapter 3. link
  2. Pizer, S. M., Amburn, E. P., Austin, J. D., et al. (1987). Adaptive histogram equalization and its variations. Computer Vision, Graphics, and Image Processing, 39(3), 355–368. DOI: 10.1016/S0734-189X(87)80186-X

如何引用本页

ScholarGate. (2026, June 3). Histogram Equalization for Image Contrast Enhancement. ScholarGate. https://scholargate.app/zh/computer-vision/histogram-equalization

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被引用于

ScholarGateHistogram Equalization (Histogram Equalization for Image Contrast Enhancement). 于 2026-06-15 检索自 https://scholargate.app/zh/computer-vision/histogram-equalization · 数据集: https://doi.org/10.5281/zenodo.20539026