Paper Info
Title
Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices.
Abstract
We present an automatic program of blue whale photo-identification for mobile devices. The proposed technique works in the wavelet domain to reduce the image size and the processing time of the proposed algorithm, and with an edge enhancement filter, the characteristics of the blue whale are preserved. Additionally, an image palette reduction algorithm based on local image complexity estimation is introduced to eliminate redundant colors, thus decreasing the number of pixels that are bad classified in the segmentation process and minimizing the resource consumption of the mobile device. The segmented image is obtained with the FCM (fuzzy C-means) or K-means algorithms incorporating a dynamic filtering which is proposed in this paper to improve the brightness and contrast of the acquired image increasing the performance of the image segmentation. Experimental results show that the proposed approach potentially could provide a real-time solution to photo-id of blue whale images and it can be transportable and portable power for mobile devices. Finally, the proposed methodology is simple, efficient, and feasible for photo-id applications in mobile devices.
Year
DOI
Venue
2017
10.1186/s13640-016-0153-2
EURASIP J. Image and Video Processing
Keywords
Field
DocType
Photo-id, Mobile device, Segmentation, Color palette, FCM, KM
Computer vision,Pattern recognition,Segmentation,Computer science,Filter (signal processing),Image processing,Image segmentation,Pixel,Artificial intelligence,Cluster analysis,Image resolution,Edge enhancement
Journal
Volume
Issue
ISSN
2017
1
1687-5281
Citations 
PageRank 
References 
1
0.35
7
Authors
4
Name
Order
Citations
PageRank
Blanca E. Carvajal-Gamez134.43
David B. Trejo-Salazar210.35
Diane Gendron-Laniel310.69
Francisco J. Gallegos-Funes46610.19