Heuristic underwater structured environment line feature extraction method
A technology of underwater structure and extraction method, which is applied in pattern recognition in signals, character and pattern recognition, radio wave measurement system, etc., and can solve the problem of low accuracy
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Embodiment 1
[0055] In recent years, with the continuous development of the marine industry, the requirements for the intelligence level of underwater robots are increasing day by day. As an important means for underwater robots to explore the ocean, underwater environment modeling is receiving more and more attention. In the working environment of underwater robots, structured environments such as ports and dams are very common. For underwater structured environments, underwater robots can only accurately extract the line features of structured environments from ports and dams to establish Only an accurate structured environment model can recognize environmental information, thereby effectively improving the local positioning and path planning capabilities of underwater robots.
[0056] Autonomous underwater vehicles (Autonomous Underwater Vehicles, referred to as AUV) usually use mechanical scanning imaging sonar (referred to as "imaging sonar") to sense structured environmental informati...
Embodiment 2
[0139] The invention relates to a heuristic method for extracting features of underwater structured environment lines. The method solves the problem of incomplete extraction of underwater structured environment line features by existing algorithms, and proposes a heuristic underwater structured environment line feature extraction method. Environment Line Feature Extraction Method.
[0140] Such as Figures 1 to 8 As shown, a heuristic underwater structured environment line feature extraction method of the present embodiment includes:
[0141] Step 1 obtains the raw data of mechanical scanning imaging sonar;
[0142] Step 2. Carry out dynamic threshold segmentation to the sonar raw data, and carry out binarization processing, obtain the set of candidate points for feature extraction;
[0143] Step 3. Use the voting algorithm under the carrier system to vote for the candidate point set in step 1 and then extract the straight line features of the structured environment;
[014...
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