Demonstrations


Color channels

This demonstration shows how to work with color channels to explore image compression using the Singular Value Decomposition (SVD).

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This example illustrates RGB to Grayscale Conversion

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This example illustrates how RGB to HSV (Hue, Saturation, Value) conversion can be used to facilitate segmentation processes.

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Contours

This demonstration shows how to detect contours on binary images The algorithm used is "Topological Structural Analysis of Digitized Binary Images by Border Following" by Suzuki and Abe (Same as OpenCV).#

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Corner Detection, which is a subset of Interest Point Detection, tries to detect points in the image which have a well-defined position and can be robustly detected in multiple images of the same scene. Very often, these points lie along the corners or edges of objects in the image - hence the name.

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Sujoy's Edge Detection Algorithm is a better & more generic approach (first derivative) for edge detection than the other commonly used first-derivative methods (like Robert’s operator, Prewitt operator, Sobel operator etc.).

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Image quality and benchmarks

This demo shows how SSIM and MSE are used to evaluate the image quality

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Spatial transformation

This demonstration shows how alpha compositing can be done in 10 lines of code using OffsetArrays and PaddedViews

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This demo issustrates the use of Histogram equalization, gamma correction matching and Contrast Limited Adaptive Histogram Equalization

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This demonstration shows some common tricks in image comparision – difference view

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Contributions

Users are invited to contribute demonstrations of their own.