Self-adaptive stochastic resonance denoising method for silicon single crystal growth image under low signal-to-noise ratio
A low signal-to-noise ratio, stochastic resonance technology, used in image enhancement, image analysis, image data processing, etc., can solve problems such as inability to detect meniscus, affecting crystal diameter measurement, and crystal image contamination.
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[0065] The present invention will be further elaborated below in conjunction with the drawings and specific embodiments.
[0066] The present invention performs denoising processing on the crystal growth image in the 8-inch silicon single crystal production furnace, and the overall schematic diagram of the algorithm is as figure 1 As shown, the noisy silicon single crystal image is subjected to gray-scale mapping and dimensionality reduction scanning to obtain the corresponding one-dimensional signal; this one-dimensional signal is used as the input signal of the bistable system; the particle swarm optimization algorithm (PSO) is adopted, The improved Donoho noise standard deviation is used as the fitness function of PSO (also the evaluation index of image denoising effect) to find the best parameters of the bistable system, and the stochastic resonance image obtained under this parameter is used as the final output image.
[0067] The adaptive stochastic resonance denoising method...
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