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Matlab prepared by the contour based maximum mutua
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Matlab prepared by the contour based maximum mutual information image registration algorithm
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Image registration algorithm based on edge feature
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The image registration algorithm based on edge features is a method of matching and superimposing two or more images of the same scene obtained from different time, different sensors (imaging equipment) or different conditions (weather, illumination, camera position and angle, etc.) according to their edge features, and finally generating a panoramic image. This method has the advantages of strong anti noise, fast matching speed, low false matching rate, and is suitable for many types of images. It can be mainly used in the following fields: (1) military research, such as aircraft auxiliary navigation system, terminal guidance of weapon projection system, and ground finding; (2) Medical image analysis, such as digital subtraction angiography, DSA angiography, tumor detection, cataract detection, CT, MRI, pet, SPECT image structure information fusion; (3) pattern recognition, such as feature recognition, waveform analysis, signature verification, target motion tracking, sequence image analysis, etc; (4) Computer vision can be used for target positioning, automatic quality control, etc. (5) remote sensing data analysis, multi electromagnetic band image information fusion, such as multi spectral scene classification, positioning and recognition of defined or known features of the scene, natural resources monitoring, nuclear growth monitoring, urban growth detection, etc. This algorithm uses VC + + 6.0 as the development environment. At present, it only supports gray-scale images. Interested friends can further expand it
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