Computer vision
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Computer Vision. Introduction to Image formats, reading and writing images, and image environments Image filtering. Images. Black and white image is a 2D matrix. Intensities represented as pixels. Color images are 3D matrix, RBG. Linear Filtering.

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Computer Vision

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Computer vision

Computer Vision

  • Introduction to Image formats, reading and writing images, and image environments

  • Image filtering


Images

Images

  • Black and white image is a 2D matrix.

  • Intensities represented as pixels.

  • Color images are 3D matrix, RBG.


Linear filtering

Linear Filtering

  • About modifying pixels based on neighborhood. Local methods simplest.

  • Linear means linear combination of neighbors. Linear methods simplest.

  • Useful to:

    • Integrate information over constant regions.

    • Scale.

    • Detect changes.

  • Fourier analysis.


Computer vision

(from Freeman, MIT)


Computer vision

(Freeman)


Computer vision

Convolution

  • Convolution kernel g, represented as matrix.

    • it’s associative

  • Result is:


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