Quantify and compare the surfaces of multiple objects with the click of a button.
Once accurate measurement data are obtained, how do you analyze them? The VK-X provides new tools to automate analysis operations and improve analysis accuracy and efficiency. You can view the differences between multiple surfaces and objectively analyze the results.
Our cutting-edge image processing technologies enable you to specify exactly where to measure. Edge detection tools ensure that any measurement point or line is placed exactly along the profile of the object. This helps to eliminate any variation between different individuals and guarantees accurate results.
Because the measurement position is determined based on a single point, data cannot be measured accurately if that point is specified incorrectly.
Points such as maximum, minimum, intersection, and midpoint cannot be set.
Edge-detection tools automatically snap to the line that you want to measure.
By using a wide variety of auxiliary tools, you can measure exactly where and how you want.
Shows multiple results simultaneously so that you can compare them. Every setting can be applied collectively, including the measurement position, height/width range, and the reference plane for measurement. Different samples can be measured under the same conditions so that you can understand where and what differences exist at a glance.
Separate result files require longer analysis time and hinder understanding. Combining the data in Excel can be time consuming.
Due to an unaligned height range, users cannot tell visually which projections and depressions are greater. Measurement positions differ between the two files.
You can arrange samples you want to analyze and specify the items to compare for analysis.
Height and width ranges are aligned so that different surfaces can be compared. The measurement location can also be linked to enable accurate analysis.
42 roughness parameters are used to automatically compare surface conditions across multiple samples. This function quantifies differences in the surface values and prioritizes them based on their degree of separation, making it incredibly easy to evaluate discrepancies between samples.