Purpose In the past few decades, the content-based image retrieval (CBIR), which focuses
on the exploration of image feature extraction methods, has been widely investigated. The …

Fast and invariant feature extraction is crucial in certain computer vision applications where
the computation time is constrained in both training and testing phases of the classifier. In …

Binary descriptors have been widely used for real-time image retrieval and correspondence
matching. However, most of the learned descriptors are obtained using a large deep neural …

Salient Dither Pattern Feature (SDPF) is one of the visual features, which is highly efficient in
feature extraction. The incorporated descriptor of SDPF is a lower dimensional spatial …

Visual feature clustering is one of the cost-effective approaches to segment objects in
videos. However, the assumptions made for developing the existing algorithms prevent them …

In order to improve the quality and efficiency of printing, a new digital screening method
based on the concept of prefabricated functions is proposed in this paper. Nine functions …