Beamlet processing is a powerful and flexible approach to the identification of line based structures in data. The processing method is efficient (<i>O</i>(<i>n</i><sup>2</sup>)) and also robust to variation in direction of the line continuation.
This paper identifies two weaknesses with the current approach: the inability to identify lines at variable intensity, and with variation in width. These are addressed with a simple modification to the process used in selecting the salient beamlets called <b>maxbeam2</b>. This is demonstrated on a line image with variation in signal intensity and line width. The technique appears to correct the above weaknesses with only a small amount of extra processing, and hence make beamlets more generally applicable.