… image representation. We analyzed the main aspects of various image retrieval and image
representation … To make the feature more robust and unique in terms of representation fusion …

… local image features, to strengthen the robustness and discrimination of image representation…
and discriminative image representations using global and local multi-feature scheme. The …

… feature representation from images and their similarity measures with application to CBIR
tasks, eg object and landmark image retrieval… measure the robustness against image rotations, …

… and the high-level semantic information and improve the accuracy, speed and robustness
of image retrieval, this study presents a two-stage CBIR algorithm based on sparse …

… Content Based Image Retrieval (CBIR) has been widely studied in the last two decades. Unlike
text based image retrieval techniques, visual properties of images … low level features and …

… vast robust and important features from the images database … For retrieval task, the
representations of these local features … Invariant Feature Transform demonstrates robustness …

… representation of the visual contents of the images [17, 18]. In order to augment the effectiveness
and reliability of image retrieval, different feature … as two strong local features. According …

… The retrieval of the AN affected bone images is challenging due to its varied fracture …
methodology for retrieval of AN images utilizing Deep Belief CNN Feature Representation. Initially, …

… clustering is robust for image retrieval as it maintains a balance in feature vector representation.
… To find the texture representation, we use standard deviation σ mn and mean μ mn for a …

… Also, the identification of reliable composite features is costly. Instead… representations. Then,
we explain our proposed method for image retrieval application using sparse representation…