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Image modelling markov random field

Image modeling plays an important role in modern image processing. It is commonly used in image analysis for texture segmentation, classification and. It is also of common use in multimedia applications for compression purposes. Due to the diversity of image types, it is impossible to have one u...

matlab编写 可以求分形维数,简单方便

matlab can prepare for the fractal dimension, is simple and convenient...

Surface wave inversion of a case in point. . . . There are documents that I beli...

Surface wave inversion of a case in point. . . . There are documents that I believe we will make good use of the...


Using matlab to achieve some of the cluster source, we can...

Image fusion procedure Guinness

Image fusion procedure, including IHS PCA Laplace PCNN Wavelet tries to guarantee of a lot of it is your own debug logging to work, is carefully for my senior thesis....

artificial immune system

Algorithm process: 1 Set the parameters Randomly generated initial population - pop = initpop (popsize, chromlength) Fault type encoding, each act a! code (1, :), normal; code (2, :), 50%; code (3, :), and 1.5%. Fault actual measured data encoding, the here Unnoralcode, 188% 4 Start itera...

Continuous speech recognition

HMM-based continuous speech recognition, Malko MVoiceRecognia continuous speech recognition Matlab source code....

sparse clustering

Sparse Subspace Clustering(SSC) when either adversarial or randomnoise is added to the unlabelled inputdata points, which are assumed to lie in a unionof low-dimensional subspaces....

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