Image Processing (imgproc module)

In this section you will learn about the image processing (manipulation) functions inside OpenCV.

• Smoothing Images

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Let's take a look at some basic linear filters!

• Eroding and Dilating

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Let's change the shape of objects!

• More Morphology Transformations

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Here we investigate different morphology operators

• Extract horizontal and vertical lines by using morphological operations

  Compatibility: > OpenCV 2.0

  Author: Theodore Tsesmelis

  Here we will show how we can use different morphology operators to extract horizontal and vertical lines

• Image Pyramids

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  What if I need a bigger/smaller image?

• Basic Thresholding Operations

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  After so much processing, it is time to decide which pixels stay!

• Making your own linear filters!

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn to design our own filters by using OpenCV functions

• Adding borders to your images

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to pad our images!

• Sobel Derivatives

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to calculate gradients and use them to detect edges!

• Laplace Operator

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn about the Laplace operator and how to detect edges with it.

• Canny Edge Detector

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn a sophisticated alternative to detect edges.

• Hough Line Transform

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to detect lines

• Hough Circle Transform

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to detect circles

• Remapping

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to manipulate pixels locations

• Affine Transformations

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to rotate, translate and scale our images

• Histogram Equalization

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to improve the contrast in our images

• Histogram Calculation

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to create and generate histograms

• Histogram Comparison

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn to calculate metrics between histograms

• Back Projection

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to use histograms to find similar objects in images

• Template Matching

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to match templates in an image

• Finding contours in your image

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to find contours of objects in our image

• Convex Hull

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to get hull contours and draw them!

• Creating Bounding boxes and circles for contours

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to obtain bounding boxes and circles for our contours.

• Creating Bounding rotated boxes and ellipses for contours

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to obtain rotated bounding boxes and ellipses for our contours.

• Image Moments

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn to calculate the moments of an image

• Point Polygon Test

  Compatibility: > OpenCV 2.0

  Author: Ana Huamán

  Where we learn how to calculate distances from the image to contours

• Image Segmentation with Distance Transform and Watershed Algorithm

  Compatibility: > OpenCV 2.0

  Author: Theodore Tsesmelis

  Where we learn to segment objects using Laplacian filtering, the Distance Transformation and the Watershed algorithm.