The phrase "attributes of images" is correct and usable in written English.
It can be used when discussing the characteristics or features that define or describe images, such as color, texture, or composition.
Example: "The attributes of images play a crucial role in determining their impact on the viewer."
Alternatives: "features of images" or "characteristics of images".
It learned to reflect its mood from the work of Dan Ventura, another computer scientist, at Brigham Young University in Utah, who trained a neural network to recognise the emotional attributes of images by sitting thousands of people in front of tens of thousands of paintings and asking them to tag each one with whatever adjectives came to mind.
Third, the region attributes of images are adopted to revise incorrect recognition of classifiers relying on visual features, which are represented by feature vectors in a segmented region.
Moreover, we will also employ the region attributes of images to revise the incorrect recognition of classifiers relying on visual features.
By carrying out a large number of experiments, we found that SURF is the most suitable feature descriptor for our classifier, and the region attributes of images can revise some incorrectly detected classifiers caused by visual features.
The "mapper" tag is for describing the mapping relationships between the attributes of Image elements in the models above.
The "query" tag is to describe the mapping relationship between description attributes of Kernel elements in the customized model and kernelDescription attributes of Image elements in Cloud resource runtime models.
Various attributes of image quality can be distinguished and scaled, including tonal rendering, colour, sharpness, naturalness, freedom from defects, etc. Image datasets from ten different systems were compared (Table 1).
The example also shows how you can adjust the threshold attribute of images to restrict the pixel range of the image being displayed.
However, blur itself is a salient attribute of images and a feature that can induce strong adaptation (Mon-Williams, Tresilian, Strang, Kochhar, & Wann, 1998; Pesudovs & Brennan, 1993; Sawides et al., 2010; Webster, Georgeson, & Webster, 2002).
The related Kernel element is indicated by the preferredKernel attribute of Image element in the customized model.
Furthermore, these architectures do not reflect on features and attributes of captured images as means for defining the camera activation schedule and coordination between sensor nodes (SNs).
