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Премиум
  • Урок 1. 00:02:21
    Introduction
  • Урок 2. 00:02:38
    Installing our Development Environment
  • Урок 3. 00:04:02
    Overview of CodeBlocks
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    Overview of Image Processing
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    Understanding Image Color and Resolution
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    Understanding Image Formats and Data types
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    The Bitmap Format
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    Coding : Opening and Copying an Image
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    Coding : Creating an ImageReader and ImageWriter Function
  • Урок 10. 00:33:37
    Coding : Creating the Image Processing Library (Part I)
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    Coding : Creating the Image Processing Library (Part II)
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    Overview of Image Processing Techniques
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    Getting familiar with some commonly used terms
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    Overview of Image Processing Applications in Computer Vision
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    Effects of Addition and Subtraction on Images
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    Coding : Increasing Image Brigthness
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    Coding : Reducing Image Brightness
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    Introduction to Image Histogram
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    Understanding Histogram Equalization
  • Урок 20. 00:02:40
    Downloading GNU Plot
  • Урок 21. 00:02:22
    Setting Up GNU Plot
  • Урок 22. 00:05:40
    Overview of GNU Plot
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    Plotting Multiple Signals
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    Coding : Computing the Histogram of an Image
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    Coding : Equalizing an Image Histogram
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    Introduction to Adaptive Thresholding
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    Introduction to Geometric Operations
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    Mapping and Affine Transformation
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    Coding : Rotating Images
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    Introduction to Gray Level Transformation
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    Coding : Experimenting with the Negative Transformation
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    Introduction to Image Enhancement
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    The Filter Kernel
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    Coding : Blurring an Image with a Filter Kernel
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    Coding : Creating a Sepia filter
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    Coding : Detecting Lines with a Line Detector Mask
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    Understanding the Concept of Operators
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    Coding : Detecting Edges with the Prewitt Mask
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    Coding : Detecting Edges with the Sobel Mask
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    Coding : Detecting Edges with the Robinson Mask
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    Coding : Detecting Edges with the Kirsch Mask
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    Coding : Detecting Edges with the Laplacian Mask
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    Coding : Detecting Edges with the Robert's Mask
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    Introduction to Neighborhood Processing
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    Convolution And Correlation
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    Introduction to 2-D Convolution and Correlation
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    Introduction of Low-pass Filters
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    Coding : Developing the 2-D Discrete Convolution Algorithm
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    Introduction of Low-pass Filters
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    Coding : Adding Salt and Pepper Noise to an Image
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    Coding : Performing High-pass Spatial Filtering
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    Coding : Generating Gaussian Noise from an Image
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    Coding : Developing the Maximum Filter Algorithm
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    Coding : Developing the Median Filter Algorithm
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    Coding : Developing the Minimum Filter Algorithm
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    Understanding how images are formed
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    Understanding the mathematics of image formation