Sentence examples for image processing models from inspiring English sources

The efficiency of fixed-point-based proximity algorithms has been demonstrated in [5] and [20 22] for various image processing models.

Combinations of four types of multispectral imagery ranging from 0.15 m resolution scanned color infrared aerial photography to 10 m resolution SPOT 5 multispectral imagery and three image processing models – per-pixel, object-based, and spectral mixture models – were tested.

Current image processing model of moving the acquired images from the data source (electron microscope) to desktops or local clusters for processing is encountering many practical limitations.

In our future work, we aim to adapt the basic principle of OCT and MC on the real image processing model.

A clear picture of this process is needed to (i) inform functional architecture of image-processing models, (ii) identify the pathways available to support binocular rivalry, and (iii) generally advance our understanding of early vision.

An image-processing model appraised body shape.

An image-processing model was designed that calculates a parameter to assess body shape.

Additionally, the topological attainability is explored using image processing and models of physical problems of structural compliance, heat transfer and composite structures.

New pixel- and region-based multiresolution image fusion algorithms are introduced in this paper using the Parameterized Logarithmic Image Processing (PLIP) model, a framework more suitable for processing images.

The GLS, such as the homomorphic multiplicative system (MHS) [10, 11], generalized mean filter [12], the log-ratio (LR) model [13], and the logarithmic image processing (LIP) model [14], has been studied since the late 1960s.

In the first article, the authors propose a generalization of the logarithmic image processing (LIP) model by introducing several parameters into the model.