[mmpatspec] [Up] [mmglblshow] | Measurements |
Compute global image statistics: 'max' - maximum gray-scale value in image; 'min' - minimum gray-scale value in image; 'sum' - sum of all pixel values; 'median' - median value of all pixels in image; 'mean' - mean value of all pixels in image; 'std' - standard deviation of all pixels (normalized by N-1); 'std1' - idem, normalized by N.
def mmstats(f, measurement): from string import upper from Numeric import ravel from MLab import mean, median, std measurement = upper(measurement) if measurement == 'MAX': y = max(ravel(f)) elif measurement == 'MIN': y = min(ravel(f)) elif measurement == 'MEAN': y = mean(ravel(f)) elif measurement == 'MEDIAN': y = median(ravel(f)) elif measurement == 'STD': y = std(ravel(f)) else: assert 0,'Not a valid measurement' return y
mmhistogram | Find the histogram of the image f. |
mmblob | Blob measurements from a labeled image. |
mmgrain | Gray-scale statistics for each labeled region. |
[mmpatspec] [Up] [mmglblshow] | ![]() |
Copyright (c) 2003, Roberto A. Lotufo, UNICAMP-University of Campinas; Rubens C. Machado, CenPRA-Renato Archer Research Center. |