Pattern Recognition and Image Analysis

, Volume 22, Issue 1, pp 221–227

Scale-space color blob and ridge detection

Representation, Processing, Analysis and Understanding of Images

DOI: 10.1134/S1054661812010221

Cite this article as:
Khanina, N.A., Semeikina, E.V. & Yurin, D.V. Pattern Recognit. Image Anal. (2012) 22: 221. doi:10.1134/S1054661812010221

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.

Keywords

color blob detection color ridge detection color line detection ridge edge feature points scale-space non maxima suppression 

Copyright information

© Pleiades Publishing, Ltd. 2012

Authors and Affiliations

  • N. A. Khanina
    • 1
  • E. V. Semeikina
    • 1
  • D. V. Yurin
    • 1
  1. 1.Faculty of Computational Mathematics and CyberneticsLomonosov Moscow State UniversityMoscowRussia

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