Sentence examples for salient textures from inspiring English sources

The mid- or high-level feature representation aims to capture strong spatial layouts, encodes salient textures, and makes those working with linear classifier [56, 60, 62].

From the above discussion, it can be seen that most of the existing techniques attempt to capture the salient textures that are stable against different lighting conditions, noises, intensity fluctuations which help to clearly represent necessary foreground information.

Searching exclusively for salient texture parts limits the retrieval effectiveness.

However with this method, salient texture such as road traffic signs and unremarkable texture like the walls of buildings are treated similarly.

The detection of elephants is especially hard because their skin does not exhibit a salient texture pattern (like for example, the skin of zebras) and thus lacks in distinctive visual features [7]. Figure 1 shows some images from our video collection that illustrate the typical factors that impede automated detection.

Because it is the combination of various hash descriptors, the content-based fingerprinting can be considered as an extension and evolution of image hashing and thus offers much more freedom to accommodate different robust features (color, shape, texture, salient points, etc., [7]) and design efficient hashing algorithms to successfully against different types of attacks and distortions.

The major contributions of the work as follows: (1) preparation of muzzle point image database, which are not publically available, (2) extraction of the salient set of texture features and representation of muzzle point image of cattle using the deep learning based convolution neural network, deep belief neural network proposed approaches.

In this paper, we propose a structure-preserving bilateral texture filtering algorithm to smooth texture while preserving salient structures.

Reliable filtering is required to separate the salient structural features and micro-textures, so that the characteristic parameters of the geometrical features can be obtained accurately.

Although the effects of such factors could partially be mitigated by means of a robust feature extraction strategy, they must be alleviated in the image enhancement module as well, making texture features more salient.

The global features based on Zernike moments of an image and local features based on shape texture from the salient map of an image has been used to design image hashing by Zhao et al. [3].