Line Edge Detection and Characterization in SEM Images Using Wavelets

Edge characterization has become increasingly important in nanotechnology due to the growing demand for precise nanoscale structure fabrication and assembly. Edge detection and assembly. Edge detection is often performed by thresholding the spatial information of a top-down image obtained by scanning electron microscopy or other surface characterization techniques. Results are highly dependent on an arbitrary threshold value, which makes it difficult to reveal the nature of the real surface and to compare results among images. In this paper, we present an alternative edge boundary detection technique based on the wavelet framework. Our results indicate that the method facilitates nanoscale edge detection and characterization by providing a systematic threshold determination step.