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Welcome to Our Blog!
Dive into a world of knowledge and creativity with our blog, where we explore the fascinating realms of image processing and programming. Here, you’ll find a diverse collection of articles, tutorials, and insights designed to enhance your understanding and skills in these dynamic fields.
Happy reading!
Popular Topics:
Image Processing WebGL JavaScript Source Code Edge Detection Filter Blur SVG Color Space C/C++
Featured Articles
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Fast image blur filter with OpenGL/WebGL
In this post, we implement a simple but fast algorithm for image blur filter with WebGL / OpenGL. The GL shader code in this article implements the average or box smoothing using GPU parallel processing.…
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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.
In: Image Processing -
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.
In: Image Processing -
Watershed Image Segmentation: Marker controlled flooding
The watershed transform is a computer vision algorithm that serves for image segmentation. This method can extract image objects and separate foreground from background. This tutorial shows how can implement Watershed transformation via Meyer’s flooding…
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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…
In: Image Processing -
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…
In: Image Processing
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