Computer Vision (1) Image Preprocessing

Internet 2023-08-01 19:04:29 views: null

Contents of this chapter

Principles of image display and storage

color space

RGB color space

  • Additive Color Mixing: Color Displays
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  • Value range【0,255】【0.0,1.0】

CMY(K) color space

  • Subtractive color mixing, printing
  • 4-channel CMYK
  • Value range [0,255], [0.0, 1.0]

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HSV color space

  • Concept of human vision, painter color matching
  • 3 elements: HSV
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CIE-XYZ color space

  • International Association of Illumination, 1931
  • Direct measurement based on human vision
  • Human visual system - visual cells
    • shortwave medium wavelength
  • Tristimulus value channel (red, green, blue)

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Image storage principle

mainstream color space

  • three color map
  • Single channel grayscale image

Image Enhancement Goals

  • Improve image visuals
  • Includes image sharpening, smoothing, denoising, gamma adjustment (contrast enhancement)

image processing method

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Point Operations: Histogram-Based Contrast Enhancement

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Histogram: quantizes the data space (bin).

Histogram equalization

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Adaptive Histogram Equalization

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CLASH

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Morphological processing

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Spatial Domain Processing: Convolution

Spatial Domain Processing and Transformation

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border padding strategy

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Airspace Analysis and Transformationinsert image description here

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sum must be 0

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Frequency Domain Analysis and Transformation

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Application of convolution (smoothing, edge detection, sharpening, etc.)

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Frequency domain processing: Fourier transform, wavelet transform

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Application cases: smooth, edge, CLAHE, etc.

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