digital-image-processing-polban

Updated 03 Nov 2026

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Overview
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  Represent and improve images, analyze their frequencies, and process binary objects. Applications include face detection, image pipelines, and satellite-image analysis in Google Earth Engine
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Materials
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  Image representation and pixel operations
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  Image intensity and histograms
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  Filtering, noise, and frequency analysis
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  Face detection and processing pipeline
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  Remote sensing classification and risk modeling
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  Binary images and morphology
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  archive
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    Digital representation
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    Pixel
    
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    Raster Image
    
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    Vector Graphics
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    Files and resolution
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    Screen Resolution
    
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    Render Resolution
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    Spatial relationships
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    Euclidean Distance
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    Spatial filtering
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    Convolution
    
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    Mean Filter
    
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    Gaussian Blur
    
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    Image Padding
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    Frequency Analysis
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    Discrete Fourier Transform
    
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    Fourier Magnitude Spectrum
    
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    Frequency-Domain Filtering
    
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    Periodic Noise
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    Geometric Operations
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    Image Cropping
    
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    Image Resizing
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    Face Detection
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    YuNet Face Detector
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Tasks
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  search 3 videos in YouTube about digital image processing application in real world
  
  Status
  Done
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univ

Linked references 3