A Study on Automatic Methods Based on Mathematical Morphology for Martian Dust Devil Tracks Detection

Statella, Thiago; Pina, Pedro; Silva, Erivaldo Antonio da [UNESP]; Martin, C. S.; Kim, S. W.

A Study on Automatic Methods Based on Mathematical Morphology for Martian Dust Devil Tracks Detection

Date

2011-01-01

Authors

Statella, Thiago

Pina, Pedro

Silva, Erivaldo Antonio da

Martin, C. S.

Kim, S. W.

Publisher

Springer

Type

Work presented at event

Abstract

This paper presents three methods for automatic detection of dust devils tracks in images of Mars. The methods are mainly based on Mathematical Morphology and results of their performance are analyzed and compared. A dataset of 21 images from the surface of Mars representative of the diversity of those track features were considered for developing, testing and evaluating our methods, confronting their outputs with ground truth images made manually. Methods 1 and 3, based on closing top-hat and path closing top-hat, respectively, showed similar mean accuracies around 90% but the time of processing was much greater for method 1 than for method 3. Method 2, based on radial closing, was the fastest but showed worse mean accuracy. Thus, this was the tiebreak factor.