# Color channels

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

This demonstration shows you how to work with indexed image using IndirectArrays.jl

This example illustrates RGB to Grayscale Conversion

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

# Contours

Canny filter is still a powerful edge detector even though it&#39;s invented in 1986 [1]. This demo shows you how to use our newly developed package ImageEdgeDetection with Canny filter as an example.

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

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.

Sujoy&#39;s Edge Detection Algorithm is a better &amp; 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.).

# Image features

This demo shows BRIEF descriptor

This demo shows BRISK descriptor

This demo shows FREAK descriptor

This demo shows HOG descriptor

This demo shows how to use the LBP algorithm to extract features from images.

This demo shows ORB descriptor

# Image morphology

Morphological image processing is an area of computer vision which pursues to remove imperfections from binary and grayscale images.

In this demonstration, we will be covering morphological operations like convexhull, image thinning, hole filling and border clearing.

# Image quality and benchmarks

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

# Image segmentation

This demo shows how to use the watershed algorithm to segment an image.

# Spatial transformation

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

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

This demonstration shows how the layer version alpha compositing can be done in 10 lines of code using OffsetArrays and PaddedViews. If you are looking for more well-organized utilities, ColorBlendModes provides the definitions and compositing operations of the blend modes.

This demonstration shows how to use cropping, resizing and rescaling operations on an image in Julia using ImageTransformations.jl

## Contributions

Users are invited to contribute demonstrations of their own.