Howtosignalprocessing
- What is spatial moments in image processing?
- What is a spatial moment?
- What are the Hu moments?
- What are moments in Opencv?
What is spatial moments in image processing?
In image processing, computer vision and related fields, an image moment is a certain particular weighted average (moment) of the image pixels' intensities, or a function of such moments, usually chosen to have some attractive property or interpretation. Image moments are useful to describe objects after segmentation.
What is a spatial moment?
Spatial moment equations, also referred to as pair approximations or correlation equations, are a relatively new method in mathematical biology for understanding the behavior of groups of individuals evolving and interacting in a spatial arena.
What are the Hu moments?
Hu Moments ( or rather Hu moment invariants ) are a set of 7 numbers calculated using central moments that are invariant to image transformations. The first 6 moments have been proved to be invariant to translation, scale, and rotation, and reflection. While the 7th moment's sign changes for image reflection.
What are moments in Opencv?
Image Moments are very important to compute the features like center of mass of an object, area of an object, etc., in a given image. Image moments are computed for an object using the contour of the object. So first, we detect the contour of the object, then apply cv2. moments(cnt) function to compute the moments.
