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cv-algorithm's Introduction

一些主流和经典的图像算法

  1. 边缘检测算法

    • Canny边缘检测
    • Sobel边缘检测
    • Prewitt边缘检测
    • Roberts边缘检测
  2. 图像分割算法

    • Otsu阈值分割
    • K-means聚类分割
    • 轮廓检测算法
    • GrabCut算法
    • Mean Shift分割
  3. 特征提取算法

    • SIFT(Scale-Invariant Feature Transform)
    • SURF(Speeded-Up Robust Features)
    • ORB(Oriented FAST and Rotated BRIEF)
    • Harris角点检测
  4. 图像配准算法

    • ICP(Iterative Closest Point)
    • ECC(Enhanced Correlation Coefficient)
  5. 图像去噪算法

    • 均值滤波
    • 中值滤波
    • 高斯滤波
    • 双边滤波
    • 非局部均值滤波(Non-Local Means)
  6. 图像增强算法

    • 直方图均衡化
    • 自适应直方图均衡化(CLAHE)
    • 伽马校正
  7. 图像复原算法

    • 维纳滤波
    • Lucy-Richardson去卷积
  8. 图像超分辨率

    • 双线性插值
    • 三次插值
    • SRCNN(Super-Resolution Convolutional Neural Network)
  9. 深度学习相关算法

    • CNN(Convolutional Neural Network)
    • ResNet(Residual Network)
    • U-Net
    • VGG(Visual Geometry Group)

这些算法覆盖了图像处理和计算机视觉中的多个关键领域,是图像算法工程师常用和研究的重要技术。

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