Wavelets Analysis Mountains® 6 Optional Module Visualize Analyze Report Visualize and analyze the scale levels at which phenomena occur, apply wavelets filtering Wavelets Analysis Mountains 6 Optional Module Discrete wavelets filtering (2D profiles and 3D surfaces) Use scale-based filtering as a complement to FFT-based filtering Wavelets filtering means using wavelets of different families to decompose a 2D (x, z) profile or 3D (x, y, z) surface into a set of profiles or surfaces at different levels of scale. Wavelet families are defined by a wavelet function and a scaling function. They include Coiflet (1-5), Daubechies (1-10), Discrete Meyer, Spline and Symlet (1-8). Profiles or surfaces are displayed at different levels of scale. You select the scale levels contained in the low-pass (waviness) and high-pass (roughness) filter interactively and preview the results. When you apply the wavelets filter, profiles/surfaces are output at all scale levels together with the waviness and roughness profiles/surfaces. Wavelet spline filtering is one of the advanced filtering techniques defined in ISO 16610. Wavelet filtering of a profile Select the wavelet family for filtering the profile. Visualize all of the scale levels in the profile. Select the number of levels to be included in the high-pass (roughness) profile (shown in blue). Visualize the resulting low-pass (waviness) profile and high-pass (roughness) profile. Apply the wavelets filter and carry out further analysis of profiles at different levels of scale, the waviness profile and the roughness profile. Wavelet filtering of a surface Select the wavelet family for filtering the surface. Visualize all of the scale levels in the surface. Select the number of levels to be included in the high-pass (roughness) surface (gray background). 2 Visualize the resulting low-pass (waviness) surface and high-pass (roughness) surface. Apply the wavelets filter and carry out further analysis of surfaces at different levels of scale, the waviness surface and the roughness surface. Mountains Wavelets Analysis 6 – Wavelets Analysis Mountains 6 Optional OptionalModule Module Visualize and analyze a surface at different levels of scale Wavelet Filtering generates a composite surface image showing all of the scale levels of a surface. From this composite image you can generate a 4D image and walk through and manipulate 3D images of the surface at each level of scale. In addition you can extract a scale level for individual analysis using all of the analytical tools in Mountains 6. Visualization of a surface at each level of scale. A scale level can be extracted for individual analysis. 3 Mountains Wavelets Analysis 6 – Wavelets Analysis Mountains 6 Optional OptionalModule Module Example: wavelets filtering and multi-scale visualization of latex particles AFM latex particles surface 5 µm x 5 µm after form removal. Waviness surface after wavelets filtering Roughness surface after wavelets filtering Decomposition of the latex surface into six scale levels using Wavelets filtering 4 3 Mountains Wavelets Analysis 6 – Wavelets Analysis Mountains 6 Optional OptionalModule Module Continuous Wavelet Decomposition (2D profiles) Study scale levels and spatial locations where phenomena occur The Continuous Wavelet Decomposition study shows the scales and spatial locations where phenomena occur on 2D (x, z) profiles. scale intensity spatial location A Continuous Wavelet Decomposition study of an abrasive profile. The X axis is length (same as the X axis of the profile). The logarithmic Y axis shows the scales at which phenomena occur. The color-coded Z axis shows their intensity. Settings for the study are shown in the dialog box above. A number of wavelet families can be selected: Coiflet (1-5), Daubechies (1-10), Discrete Meyer, Gauss (1-8), Mexican Hat, Morlet and Symlet (1-8). In addition it is possible to: • specify the decomposition range (the upper and lower limits of the scales shown on the Y axis), • use a linear or logarithmic Y axis, and • specify the number of horizontal lines in the study image (in order to achieve optimum resolution). 4 5 Mountains Wavelets Analysis 6 – Wavelets Analysis Mountains 6 Optional OptionalModule Module Selected features Mountains® 6 Wavelets Analysis Optional Module Discrete wavelet filtering (3D surfaces and 2D profiles) Continuous wavelet decomposition (2D profiles) • Apply Coiflet (1-5), Daubechies (1-10), Discrete Meyer, Spline and Symlet (1-8) wavelets (defined by a wavelet function and a scaling function). • Decompose a 2D (x, z) profile or 3D (x, y, z) surface into a set of profiles or surfaces at different levels of scale. • Visualize and analyze surfaces and profiles at different levels of scale. • Select the scale levels contained in the low-pass (waviness) and high-pass (roughness) filter interactively. • Visualize and analyze waviness and roughness surfaces and profiles. • Walk through and manipulate 3D images of a surface at each level of scale. • Extract a scale level for individual analysis. • Apply Coiflet (1-5), Daubechies (1-10), Discrete Meyer, Gauss (1-8), Mexican Hat, Morlet and Symlet (1-8) wavelets. • Visualize the scales and spatial locations where phenomena occur on 2D (x, z) profiles with spatial location shown on the X axis, scale on the Y axis and intensity on the Z axis. 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