Sentence examples for features of image from inspiring English sources

This study explored how user-supplied tags can be applied to designing a thesaurus that reflects the unique features of image documents.

In this method, DWT-SVD were used to extract global features of image and saliency region was detected using the spectral residual model which further yield local features.

In the computing process, the effective using of signal information can make up the detailed features of image, which may be lost in the deblurring process.

Tags from the popular image-sharing Web site Flickr were examined in terms of two central components of a thesaurus selected concepts and their semantic relations as well as the features of image documents.

Moreover, specific hashing designed based on some specific features of image data, such as color, edges, and other information, obviously contributes to the content-based image retrieval (CBIR) system [7] at the semantic level.

In addition, the assessment of image restoration results are mostly through subjective evaluation, which can directly reflect the visual features of image restoration, is inconvenient, time-consuming and expensive, and lacks quantitative analysis.

First, the CBIRVP method extracts three kinds of features: color, texture, and shape features of images.

Second, convolutional activations in feature maps can be intuitively interpreted as local features of images.

Mercimek et al. [23] proposed moments as invariant global features of images in pattern recognition.

They defined four features of images, including intensity ratio, color distortion, edge magnitude distortion and edge gradient distortion.

Specially, most of existing methods only adopt shallow learning models to integrate various features of images for recognition limiting classification accuracy.