Neural networks for HREM image analysis
نویسندگان
چکیده
We present a new neural network-based method of image processing for determining the local composition and thickness of III±V semiconductors in high resolution electron microscope images. This is of great practical interest as these parameters in ̄uence the electrical properties of the semiconductor. Neural networks suppress correlated noise from amorphous object covering and distinguish between variations of sample thickness and semiconductor composition. Ó 2000 Elsevier Science Inc. All rights reserved.
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ورودعنوان ژورنال:
- Inf. Sci.
دوره 129 شماره
صفحات -
تاریخ انتشار 2000