Textural features in flower classification

Abstract

In this work, we investigate the effect of texture features for the classification of flower images. A flower image is segmented by eliminating the background using a thresholdbased method. The texture features, namely the color texture moments, gray-level co-occurrencematrix, and Gabor responses, are extracted, and combinations of these three are… (More)
DOI: 10.1016/j.mcm.2010.11.032

Topics

Statistics

01020201520162017
Citations per Year

Citation Velocity: 5

Averaging 5 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.
  • Presentations referencing similar topics