Using the peaks calculated over the entire image (Fig. ), we can cluster peaks present in sub-images together. We group peaks together based on their distance to a global peak in degrees. We choose a range of 15°, and prioritise peaks showing higher amplitudes, leading to two dominant peaks being selected in Fig. . Such grouping enables (1) visualising the locations within an image where peaks indicating dominant angles are present, ( ) determining what their respective amplitude is, and (3) whether there is overlap with other image features. Specifically, we mapped the dominant peak angle "peak 1" or "peak 2" back into our simulated image, thereby recovering the initially simulated orientations of 130° and 0° (Fig. ). We further plotted the amplitude-filtered peaks for each region confirming that the central region shows a high amplitude for the vertical lines representing the 0° orientation (Fig. ) and the outside high amplitudes for the tilted section representing 130° (Fig. ).