A fuzzy system approach for the classification of underwater AUV color images

José A. Díaz; Raúl E. Torres

doi:10.1117/12.704680

27 February 2007 A fuzzy system approach for the classification of underwater AUV color images

José A. Díaz, Raúl E. Torres

Proceedings Volume 6497, Image Processing: Algorithms and Systems V; 649711 (2007) https://doi.org/10.1117/12.704680
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

This paper presents a fuzzy system approach using texture and color to classify living coral cover in underwater color images acquired by an autonomous underwater vehicle (AUV). The proposed fuzzy system for classification consists in the assigning of fuzzy memberships to different image features such as the mean, the spatial variance, the Gabor filter response standard deviation, and the wavelet energy. These fuzzy sensors are applied to the different segments present in the images. The segmentation of the images is previously done using the Homogeneity Coefficient Segmentation Algorithm (LHC). The resulted classification of the regions is compared against ground truth maps of the images. A correct classification over 80% was achieved in two different 25 images sets of two different areas.

Citation Download Citation

José A. Díaz and Raúl E. Torres "A fuzzy system approach for the classification of underwater AUV color images", Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 649711 (27 February 2007); https://doi.org/10.1117/12.704680

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