Combining SIFT and Invariant Color Histogram in HSV space for Deformation and viewpoint Invariant Image Retrieval

Holistic Descriptors of Omnidirectional Color Images and Their Performance in Estimation of Position and Orientation

“…Specifically, the descriptor is made up of the position of the local maxima of the histograms of channels H, S and V of the image separately. Suhasini et al [47] also use HSV instead of RGB in order to obtain a descriptor based on the combination of SIFT (Scale Invariant Feature Transform) and ICH (Invariant Color Histogram), presenting an important improvement in image association tasks compared with the same algorithm applied to RGB. Junhua and Jing [48] show an image classification algorithm based on the Contourlet Transform using the H channel in the HSV space.…”

Content Based Image Retrieval Systems using SIFT: A Survey

“…SIFT features are combined with ICH in HSV color space for Image Retrieval to increase the deformation and viewpoint invariance capability and thus to improve image recognition. By using this method the efficiency is improved to 10% than the other methods [22]. By using the different image databases like MPEG-7, COIL-20 and ZuBuD, for binary and grayscale level images, the content based image retrieval using scale invariant feature transform is done.…”