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Image threshold segmentation
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Application background Using the iterative method to segment the image, first select an approximate threshold T, the image is divided into R1 and R2, the computing region of R2 and R1, U1 and U2, T= (u1+u2) /2.
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Denoising using wavelet transform for image denois
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Application background Using wavelet transform for image denoising, in the image of a pair of B & B, using wavelet transform analysis. Finally, according to the principle of wavelet programming denoising, the effect is obvious.
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Neural network image recognition
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Application background Neural network plays a very important role in the study of simulation and Realization of human cognitive process. People use the characteristics of neural network to invent a neural network algorithm, neural network algorithm plays a very important role in pattern recognition, identification, classification, voice, and other control system, so the code is mainly used in image recognition.
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Hough line detection
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Application background Hough transform line detection, can detect all the lines in the picture, and can mark the longest straight line.
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Image distortion correction
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Application background Because of the correction of the distorted image, the bilinear interpolation method is more simple.
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