A Fast Digital-Geometric Approach for Granulometric Image Analysis

  • Sahadev Bera
  • Arindam Biswas
  • Bhargab B. Bhattacharya
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 266)

Abstract

A simple algorithm for automated analysis of granulometric images consisting of touching or overlapping convex objects such as coffee bean, food grain, is presented. The algorithm is based on certain underlying digital-geometric features embedded in their snapshots. Using the concept of an outer isothetic cover and geometric convexity, the separator of two overlapping objects is identified. The objects can then be isolated by removing the isothetic covers and the separator. The technique needs only integer computation and its termination time can be controlled by choosing a resolution parameter. Experimental results on coffee beans and other images demonstrate the efficiency and robustness of the proposed method compared to earlier watershed-based algorithms.

Keywords

Granulometric image analysis Outer isothetic cover Digital geometry Coffee bean segmentation 

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Copyright information

© Springer India 2014

Authors and Affiliations

  • Sahadev Bera
    • 1
  • Arindam Biswas
    • 2
  • Bhargab B. Bhattacharya
    • 1
  1. 1.Advanced Computing and Microelectronics UnitIndian Statistical InstituteKolkataIndia
  2. 2.Department of Information TechnologyBengal Engineering and Science UniversityShibpur, HowrahIndia

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