Title :
Feature extraction in image analysis. A program for facilitating data reduction in medical image classification
Author :
Umbaugh, Scott E. ; Wei, Yansheng ; Zuke, Mark
Author_Institution :
Southern Illinois Univ., Edwardsville, IL, USA
Abstract :
Images are important for many biomedical applications. Here, the authors focus on the feature-extraction part of the image analysis process. The following topics are dealt with: feature vectors and feature spaces; binary object features; histogram features; color features; spectral features; feature extraction using CVIPtools; analysis/preprocessing.
Keywords :
complete computer programs; data reduction; feature extraction; image classification; image colour analysis; medical image processing; vectors; CVIPtools; binary object features; color features; data reduction program; feature spaces; feature vectors; histogram features; image preprocessing; medical image analysis; medical image classification; spectral features; Colored noise; Data mining; Feature extraction; Filtering; Frequency; Image analysis; Image color analysis; Information analysis; Pixel; Robustness; Algorithms; Color; Computer Graphics; Fourier Analysis; Humans; Image Processing, Computer-Assisted; Software;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
