Scale-space color blob and ridge detection

  • Authors:

  • N. A. Khanina;E. V. Semeikina;D. V. Yurin

  • Affiliations:

  • Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow, Russia 119991;Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow, Russia 119991;Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow, Russia 119991

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Feature detection in color images frequently consists in image conversion from color to grayscale and then one of grayscale detectors application. This approach has a few disadvantages: some features become indistinguishable in grayscale and features ordering based on response of grayscale detector do not accord with features order of importance from human's perception point of view. There are two essential contributions in this paper. First, the method for direct detection of blobs and ridges in color images is proposed. Second, for scale-space ridge detection we introduce a 3D non maxima suppression procedure (in two orthogonal directions) which makes ridge detection simple and easy programmable in contrast to Lindeberg's automatic scale selection approach. The proposed algorithms also produce estimates of blobs sizes and ridges width.