TY - GEN
T1 - A novel approach for image feature extraction using HSV model color and filters wavelets
AU - Del Alamo, Cristian José López
AU - Pérez, Lizeth Joseline Fuentes
AU - Calla, Luciano Arnaldo Romero
AU - Lovón, Wilber Roberto Ramos
PY - 2013
Y1 - 2013
N2 - Due to the advancement of computing and the power of the new hardware, more economical, it is now feasible to have thousands of images which can be analyzed to allow classification for its shape and/or color. Furthermore, techniques and efficiency of the classification depends on the characteristics to be obtained of images in order to compare and classify them according to their similarity. Some images, such as model cars, planes and boats, can be discriminated by their shape. However, other images such as butterfly species where the shape is similar, the color plays an important role in the discrimination task. In this research we propose a novel approach to extract distinctive features of images by combining the HSV color model and wavelets filters. Furthermore, we investigate the best combination of features color and form. Experiments have shown improved performance by combining the HSV color model with Gabor wavelets.
AB - Due to the advancement of computing and the power of the new hardware, more economical, it is now feasible to have thousands of images which can be analyzed to allow classification for its shape and/or color. Furthermore, techniques and efficiency of the classification depends on the characteristics to be obtained of images in order to compare and classify them according to their similarity. Some images, such as model cars, planes and boats, can be discriminated by their shape. However, other images such as butterfly species where the shape is similar, the color plays an important role in the discrimination task. In this research we propose a novel approach to extract distinctive features of images by combining the HSV color model and wavelets filters. Furthermore, we investigate the best combination of features color and form. Experiments have shown improved performance by combining the HSV color model with Gabor wavelets.
KW - Gabor wavelets Haar wavelets
KW - HSV
KW - image classification
KW - image recognition
UR - http://www.scopus.com/inward/record.url?scp=84893337480&partnerID=8YFLogxK
U2 - 10.1109/CLEI.2013.6670598
DO - 10.1109/CLEI.2013.6670598
M3 - Conference contribution
AN - SCOPUS:84893337480
SN - 9781479913404
T3 - Proceedings of the 2013 39th Latin American Computing Conference, CLEI 2013
BT - Proceedings of the 2013 39th Latin American Computing Conference, CLEI 2013
PB - IEEE Computer Society
T2 - 2013 39th Latin American Computing Conference, CLEI 2013
Y2 - 7 October 2013 through 11 October 2013
ER -