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Tag: WebGL

This category lists image processing tutorials that provide WebGL source code. The WebGL library provides highly efficient interaction with 2D and 3D images in a web browser. This makes it possible to create advanced graphics algorithms without the need for plugins.

  • Harris Corner Detector: How to find key-points in pictures

    Harris Corner Detector: How to find key-points in pictures

    Harris Corner Detector is a popular computer vision algorithm used to detect key points in images and video. Corners are important features of the image, as they provide useful information for detecting objects and scenes.

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  • Color space conversion

    Color space conversion

    Color space conversion is transformation from one color representation into another. This is a common approach to improve image representation and make it easier to solve certain computer vision tasks.

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  • Skin Detection and Segmentation in RGB Images

    Skin Detection and Segmentation in RGB Images

    The Skin Detection and Segmentation is a process of finding skin-colored image regions from video frames or still pictures. Typically this is a pre-processing step in the digital image analysis to find significant regions such…

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  • Symmetric Nearest Neighbor Filter

    Symmetric Nearest Neighbor Filter

    The Symmetric Nearest Neighbor Filter (SNN) is a non-linear edge preserving image processing filter. It is a very effective noise reduction technique that removes noise while maintaining sharp image edges. This graphic filter produce results…

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  • Gradient Non-Maximum Suppression

    Gradient Non-Maximum Suppression

    Gradient non-maximum suppression is an edge thinning algorithm that extracts thin contours of objects in an image. The output of this image processing algorithm is contour curves that are one pixel wide. Non-maximal suppression is…

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  • Sobel-Feldman filter: Edge Detection and Gradient Extraction

    Sobel-Feldman filter: Edge Detection and Gradient Extraction

    The Sobel filter (also called Sobel-Feldman operator) is an edge detection algorithm, that results in image emphasizing edges. Computer vision apps often use this image processing technique to extract the objects contours.

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