Alternative methods for counting overlapping grains in digital images

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

marcal, ars (Author) FCUP

Conference proceedings International

Title: Image Analysis and Recognition

Pages: 1051-1060

5th International Conference on Image Analysis and Recognition (ICIAR 2008)

Póvoa de Varzim, Portugal, June 25-27, 2008

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 5 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-004-3J2

DOI: 10.1007/978-3-540-69812-8_105

Abstract (EN): Standard granulometry methods are used to count the number of disjoint grains in digital images. For the case of overlapping grains, the standard method is not effective. Two alternative methods for counting overlapping grains in digital images are proposed. The methods are based on mathematical morphology and are suitable for grains of circular shape. The standard and overlapping methods were tested with a Monte-Carlo simulation using 32500 synthetic images with various grain sizes and quantities, as well as different levels of noise. The overall average counting error for all images tested with intermediate amount of noise (zero mean Gaussian noise with sigma = 0.05) was 6.03% for the standard method, and 4.40% and 3.56% for the overlapping methods. The performance of the proposed methods was found to be much better than the standard method for images with significant overlap between grains.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10