Titlebook: Characterisation of Areal Surface Texture; Richard Leach Book 2024Latest edition The Editor(s) (if applicable) and The Author(s), under ex

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3D Graphics for RCP with OpenGL,hy is partitioned, how feature relevance is determined and how the individual features are described. Feature-based characterisation addresses a wide range of needs, from finding new ways to describe an entire surface, to finding dedicated ways to characterise a selected number of features. The moti

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3D Graphics for RCP with OpenGL,a measuring instrument based on focus variation in combination with artificial intelligence for surface texture classification. This chapter presents a comprehensive case study on the application of deep learning and convolutional neural networks in the field of optical metrology for classification

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https://doi.org/10.1007/978-1-4302-1828-9s, the features/parameters, such as honing angle, balance of honing texture, groove interrupts, width, height and distance between grooves, are successively quantified. Here, these parameters, along with areal surface texture parameters in the published ISO specification standard, were used in three

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https://doi.org/10.1007/978-1-4302-1828-9spectively. In the first of these case studies, methods for validating X-ray computed tomography data through comparison to other surface measurement technologies are provided. In the latter case study, common metal additive surface features and example automated methods developed to characterise th

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Introduction to Surface Topography,cussed, including a short historical overview. The differences between surface profile and areal surface characterisation are presented along with the concepts of software measurement standards. Finally, the current international standards infrastructure and potential future direction for standards

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The Areal Field Parameters,n area, as opposed to feature parameters (see Chap. .) that only take into account specific points, lines or areas. Field parameters allow the characterisation of surface heights, slopes, complexity, wavelength content and other surface characteristics. They are defined in the specification standard

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Areal Filtering Methods,cales can be characterised by parameters given in ISO 25178 part 2. In this chapter the three areal filtering standards, ISO 16610 part 61 (areal Gaussian filters), ISO 16610 part 62 (areal spline filters) and ISO 16610 part 71 (robust areal Gaussian regression filters), are discussed. Morphological

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Areal Form Removal,ture from a set of data points, the primary extracted surface. The three main components for form removal are discussed: measures of distance from a point to a surface (or ideal associated feature), fitting criteria to determine the best-fit surface, and the form removal operator. Uncertainty evalua