FRINGE LINE DETECTION AND PHASE UNWRAPPING METHOD AND SYSTEM BASED ON FL-NET CONVOLUTIONAL NEURAL NETWORK
Number of patents in Portfolio can not be more than 2000
United States of America
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N/A
Issued Date -
Jan 16, 2025
app pub date -
Apr 26, 2024
filing date -
Apr 26, 2024
priority date (Note) -
Published
status (Latency Note)
Importance
Abstract
Provided is a fringe line detection and phase unwrapping method and system based on an FL-Net convolutional neural network. The method includes: constructing the FL-Net convolutional neural network; detecting fringe lines of an input image by using the FL-Net convolutional neural network to obtain an image with detected fringe lines; performing circulation integral on the detected fringe lines to repair the detected fringe lines to thereby obtain an image with repaired fringe lines; performing path integral on the repaired fringe lines to unwrap the repaired fringe lines to thereby obtain an image with unwrapped fringe lines; and identifying error points of the unwrapped fringe lines by using the FL-Net convolutional neural network; and processing the error points. Specifically, an HDC method is used to replace a down-sampling method to avoid the loss of resolution, and residual connection is used to prevent the network from being too deep.
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