On the classification of simple and complex biological images using Krawtchouk moments and Generalized pseudo-Zernike moments: a case study with fly wing images and breast cancer mammograms

In image analysis, orthogonal moments are useful mathematical transformations for creating new features from digital images. Moreover, orthogonal moment invariants produce image features that are resistant to translation, rotation, and scaling operations. Here, we show the result of a case study in...

Full description

Bibliographic Details
Main Authors: Jia Yin Goh, Tsung Fei Khang
Format: Article
Language:English
Published: PeerJ Inc. 2021-09-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-698.pdf