Hi,
It is my understanding that your code is structured to process a series of images, extract certain features, and perform calculations based on those features. The use of “imgradient” in the context you've described is unconventional, as it is typically used for edge detection in images by calculating the gradient magnitude and direction at each pixel. However, your application of “imgradient” to coordinate data (derived from image processing steps) for another purpose is a creative use of the function, albeit not its typical application.
While “imgradient” is designed for image data, using it on coordinate data is technically feasible because it simply computes derivatives (changes) along the provided data. However, the interpretation of the results (‘Gmag’, ‘Gdir’) will differ from their usual context (image gradients). Here, you're analysing changes along the curve defined by your coordinates, not pixel intensity changes.
Just ensure a few considerations and suggestions for the use in your case:
- Ensure that the input to “imgradient (Intx, Inty)” is correctly representing the interfaces' coordinates as you intend. The function treats these as two-dimensional gradients, so the resulting magnitude and direction reflect changes between consecutive points in your coordinate list.
- Verify that the calculation of ‘Intx’ and ‘Inty’ correctly represents the interfaces and that translating these coordinates to a centroid-based system is meaningful for your analysis.
In summary, while your use of “imgradient“ on coordinate data is unconventional, it's a good adaptation. Ensure that the methodology aligns with your goals and that the interpretations of the results are valid within your requirements. However, if your goal is to analyse the shape or curvature of interfaces, consider other geometric or computational geometry techniques that might be more direct or interpretable for your purposes.
