磁化曲線和磁滯回線測量

1、36 Kalle Karn, et c. Fingerprint Classification .Pattern Recognition, 1996, 29 (3:389-404.37 Ratha N K, Chen S Y, Jain A K. Adaptive flow orientation-based feature extraction in fingerprint images .Pattern Recognition,1995,28 (10:1657-1672.38 Hong L, Wan Y F, Jain A. Fingerprint image enhancement: a

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7、29-38. 附錄1 配準(zhǔn)函數(shù)Matlab程序function output Greg = dftregistration(buf1ft,buf2ft,usfac% function output Greg = dftregistration(buf1ft,buf2ft,usfac;% Efficient subpixel image registration by crosscorrelation. This code% gives the same precision as the FFT upsampled cross correlation in a% small fraction o

8、f the computation time and with reduced memory % requirements. It obtains an initial estimate of the crosscorrelation peak% by an FFT and then refines the shift estimation by upsampling the DFT% only in a small neighborhood of that estimate by means of a % matrix-multiply DFT. With this procedure al

9、l the image points are used to % compute the upsampled crosscorrelation.% Manuel Guizar - Dec 13, 2007% Portions of this code were taken from code written by Ann M. Kowalczyk % J.R. Fienup and A.M. Kowalczyk, "Phase retrieval for a complex-valued % object by using a low-resolution image,"

10、J. Opt. Soc. Am. A 7, 450-458 % (1990.% Citation for this algorithm:% Manuel Guizar-Sicairos, Samuel T. Thurman, and James R. Fienup, % "Efficient subpixel image registration algorithms," Opt. Lett. 33, % 156-158 (2008.% Inputs% buf1ft Fourier transform of reference image, % DC in (1,1 DO

11、NOT FFTSHIFT% buf2ft Fourier transform of image to register, % DC in (1,1 DO NOT FFTSHIFT% usfac Upsampling factor (integer. Images will be registered to % within 1/usfac of a pixel. For example usfac = 20 means the% images will be registered within 1/20 of a pixel. (default = 1% Outputs% output = error,diffphase,net_row_shift,net_col_shift% error Translation invariant normalized RMS error between f and g% diffphase Global phase difference between the two images (should be% zero if images are non-negative.% net_row_shift net_col_shift Pixel shifts between images% Greg (Optional Fourie