Sentence examples for classification of image from inspiring English sources

In [21], classification of image blocks based on DCT coefficients was applied with GA to minimize encoding time.

Here, the sparse representation-based classifier (SRC) method, which has shown to be effective for classification of image data (e.g., face), is used to construct each weak classifier.

The effective classification of image contents allows us to adopt strategies that can meet the increasing demand for quality, speed and ease of use in imaging applications.

Given this soft clustering, we base the classification of image patches on the class likelihood ratio of their corresponding local descriptor given by (18).

We present a novel approach for contextual classification of image patches in complex visual scenes, based on the use of histograms of quantized features and probabilistic aspect models.

In this paper, as shown in Fig. 2, there are 56 binary molds, M m, for m = 1, 2, …, 56 for mold classification of image and depth blocks.

Results indicate the general feasibility of CNN-based computer-aided systems for diagnosis and classification of images generated by medical imaging systems.

Image quality affects automated classification of images from process camera monitors.

In this paper, we proposed computational models to perform contextual regional classification of images.

The classification of images by the "race" and "gender" attributes is binary or may be reduced to a binary one.

In addition to this study, we developed a hierarchical search module based on the logic classification of images following rooms.