Sentence examples for image is formulated from inspiring English sources

The hyperspectral image is formulated as a data matrix where columns are wavelengths and rows are pixels, respectively.

Images are taken as vertices in a weighted hypergraph and the task of image search is formulated as the problem of hypergraph ranking.

In this paper, we present a framework for hybrid image summarization in which social images and corresponding textual information are taken as vertices in a hypergraph and the task of image summarization is formulated as the problem of hypergraph partition.

The designed algorithm is also tested on real life application where multi-spectral image segmentation is formulated as a clustering problem.

In [15], multitarget TBD from image observations is formulated in a Bayesian framework by modeling the collection of states as a multi-Bernoulli RFS.

The relationship between the viewing zone and the elemental images (EIs) is formulated.

Moreover, our topic model is built by exploiting the expert knowledge about the correlation between tags with visual contents and the relationship among image features that is formulated in terms of spatial location and color distribution.

Recently, Ren et al. have proposed data-driven LBP (DDLBP) for low-level image representation, which is formulated as a point selection problem, that is solved by maximal joint mutual information criterion [39].

The image recovery problem is formulated as to find the nearest point in the intersection of a family of closed convex subsets from a given point by using corresponding metric projection of each subset.

Dong et al. [9] presented a well-defined image distance function, which is formulated as a combination of patch-based bidirectional image Euclidean distance, image-dominant color similarity, and seam energy variation.

The segmentation problem of an image of N pixels is formulated in [ 8] as a partition of the N pixels among M classes, such that the assignment of the pixels minimizes a criterion function.