TY - GEN
T1 - Gabor-based novel local, shape and color features for image classification
AU - Sinha, Atreyee
AU - Banerji, Sugata
AU - Liu, Chengjun
PY - 2012
Y1 - 2012
N2 - This paper introduces several novel Gabor-based local, shape and color features for image classification. First, a new Gabor-HOG (GHOG) descriptor is proposed for image feature extraction by concatenating the Histograms of Oriented Gradients (HOG) of all the local Gabor filtered images. The GHOG descriptor is then further assessed in six different color spaces to measure classification performance. Finally, a novel Fused Color GHOG (FC-GHOG) feature is presented by integrating the PCA features of the six color GHOG descriptors that performs well on different object and scene image categories. The Enhanced Fisher Model (EFM) is applied for discriminatory feature extraction and the nearest neighbor classification rule is used for image classification. The robustness of the proposed GHOG and FC-GHOG feature vectors is evaluated using two grand challenge datasets, namely the Caltech 256 dataset and the MIT Scene dataset.
AB - This paper introduces several novel Gabor-based local, shape and color features for image classification. First, a new Gabor-HOG (GHOG) descriptor is proposed for image feature extraction by concatenating the Histograms of Oriented Gradients (HOG) of all the local Gabor filtered images. The GHOG descriptor is then further assessed in six different color spaces to measure classification performance. Finally, a novel Fused Color GHOG (FC-GHOG) feature is presented by integrating the PCA features of the six color GHOG descriptors that performs well on different object and scene image categories. The Enhanced Fisher Model (EFM) is applied for discriminatory feature extraction and the nearest neighbor classification rule is used for image classification. The robustness of the proposed GHOG and FC-GHOG feature vectors is evaluated using two grand challenge datasets, namely the Caltech 256 dataset and the MIT Scene dataset.
KW - Color spaces
KW - Enhanced Fisher Model (EFM)
KW - Fused Color GHOG (FC-GHOG) descriptor
KW - Gabor filters
KW - Histograms of Oriented Gradients (HOG)
KW - Image search
KW - Principal Component Analysis (PCA)
KW - The Gabor-HOG (GHOG) descriptor
UR - http://www.scopus.com/inward/record.url?scp=84869077973&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869077973&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-34487-9_37
DO - 10.1007/978-3-642-34487-9_37
M3 - Conference contribution
AN - SCOPUS:84869077973
SN - 9783642344862
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 299
EP - 306
BT - Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings
T2 - 19th International Conference on Neural Information Processing, ICONIP 2012
Y2 - 12 November 2012 through 15 November 2012
ER -