TY - JOUR
T1 - Photo-id of blue whale by means of the dorsal fin using clustering algorithms and color local complexity estimation for mobile devices
AU - Carvajal-Gámez, Blanca E.
AU - Trejo-Salazar, David B.
AU - Gendron, Diane
AU - Gallegos-Funes, Francisco J.
N1 - Publisher Copyright:
© 2017, The Author(s).
PY - 2017/12/1
Y1 - 2017/12/1
N2 - 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.
AB - 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.
KW - Color palette
KW - FCM
KW - KM
KW - Mobile device
KW - Photo-id
KW - Segmentation
UR - http://www.scopus.com/inward/record.url?scp=85010064606&partnerID=8YFLogxK
U2 - 10.1186/s13640-016-0153-2
DO - 10.1186/s13640-016-0153-2
M3 - Artículo
SN - 1687-5176
VL - 2017
JO - Eurasip Journal on Image and Video Processing
JF - Eurasip Journal on Image and Video Processing
IS - 1
M1 - 6
ER -