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DIPIM
B = DIPIM(A,COMMAND,PAR1,PAR2, ...)
B = A*DIPIM([],COMMAND,PAR1,PAR2, ...)
Input | |
A | Dataset or datafiles with object images |
COMMAND | String with name of a DIPimage command |
PAR1 | Additional parameters needed for COMMAND |
Output | |
B | Datasetor datafile with results |
This is a general routine to run DIPimage commands on the images stored in a dataset or datafile. It is thereby appropriate for grey value operations. For logical and morphological operations DIPBIN should be used. See DIPIMAGE for a list of all possible commands. A few suggections
stretch - Grey-value stretching hist_equalize - Histogram equalization lut - Look-up Table (with interpolation) convolve - General convolution filter gaussf - Gaussian filter unif - Uniform filter maxf - Maximum filter minf - Minimum filter medif - Median filter percf - Percentile filter varif - Variance filter gabor - Gabor filter derivative - Derivative filters dx - First derivative in the X-direction dy - First derivative in the Y-direction dz - First derivative in the Z-direction laplace - Laplace operator laplace_plus_dgg - Laplace + Dgg laplace_min_dgg - Laplace - Dgg hessian - Hessian matrix of an image prewittf - Prewitt derivative filter sobelf - Sobel derivative filter threshold - Thresholding hist2image - Backmaps a 2D histogram ROI to the images minima - Detect local minima maxima - Detect local maxima watershed - Watershed
datasets, datafiles, dip_image,
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