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One dimensional and two dimensional wavelet transform
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Wavelet algorithm in VC specific implementation. Wavelet algorithm in image processing, video compression, feature extraction and other fields have a wide range of applications, the program to gray image data were demonstrated one and two-dimensional wavelet transform, hope to help you. Thank you!
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SIFT algorithm
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SIFT feature matching algorithm, an image registration program based on SIFT, is a hotspot and difficulty in the field of feature point matching research at home and abroad. It has strong matching ability, and can deal with the matching problems in the case of translation, rotation and affine transformation between two images, and even has relatively stable feature matching ability for images taken from any angle to some extent
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image processing
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Digital image processing software based on matlab-GUI graphical interface the design of this system is based on GUI Graphical interface, and the code is written in MATLAB language. The functions include image reading, storage, display, histogram equalization, thresholding, wavelet decomposition, wavelet reconstruction, noise addition, denoising, smoothing, sharpening, edge detection, image segmentation, etc
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Detection and identification
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Based on Python opencv, the detection and recognition of action and face are realized, and the human action is recognized by obtaining key points
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Compare the similarity between the two images
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Using two distance calculation methods to compare the similarity of two images, we can find two images with great difference in the video
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Image zooming in and out
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Realize two image processing algorithms in opencv, pryup and prydown
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Human-acion
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Using C + + implementation, has been run, can recognize human action
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Human action recognition
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Human action recognition, for intelligent video analysis and development data, mainly used in DSP embedded system
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fangxiang
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&Nbsp; can collect action, the system will make judgment according to the action direction of the human body, so as to identify the east direction of the object!
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Face detection
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Face detection algorithm, using opencv2.4.11 + vs2012 to achieve, successfully detected the face in the image captured by the camera, and marked with a rectangular box with color
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