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 ar...
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ftbiomed:oai:biomedcentral.com:s13640-016-0153-2 2023-05-15T15:45:06+02:00 Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices Carvajal-Gámez, Blanca Trejo-Salazar, David Gendron, Diane Gallegos-Funes, Francisco 2017-01-18 http://jivp.eurasipjournals.com/content/2017/1/6 en eng BioMed Central Ltd. http://jivp.eurasipjournals.com/content/2017/1/6 Copyright 2017 The Author(s). Photo-id Mobile device Segmentation Color palette FCM KM Research 2017 ftbiomed 2017-01-22T00:57:11Z 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. Other/Unknown Material Blue whale BioMed Central |
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English |
topic |
Photo-id Mobile device Segmentation Color palette FCM KM |
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Photo-id Mobile device Segmentation Color palette FCM KM Carvajal-Gámez, Blanca Trejo-Salazar, David Gendron, Diane Gallegos-Funes, Francisco Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices |
topic_facet |
Photo-id Mobile device Segmentation Color palette FCM KM |
description |
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. |
format |
Other/Unknown Material |
author |
Carvajal-Gámez, Blanca Trejo-Salazar, David Gendron, Diane Gallegos-Funes, Francisco |
author_facet |
Carvajal-Gámez, Blanca Trejo-Salazar, David Gendron, Diane Gallegos-Funes, Francisco |
author_sort |
Carvajal-Gámez, Blanca |
title |
Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices |
title_short |
Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices |
title_full |
Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices |
title_fullStr |
Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices |
title_full_unstemmed |
Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices |
title_sort |
photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices |
publisher |
BioMed Central Ltd. |
publishDate |
2017 |
url |
http://jivp.eurasipjournals.com/content/2017/1/6 |
genre |
Blue whale |
genre_facet |
Blue whale |
op_relation |
http://jivp.eurasipjournals.com/content/2017/1/6 |
op_rights |
Copyright 2017 The Author(s). |
_version_ |
1766379466019307520 |