Introduction

 

Magnifying glass in the image

 

View more images

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Geometrical transforms

 

Brightness profile

 

Histogram

 

Fourier transform

 

Features

 

Brightness/contrast corrrections

 

Flat-Field corrections

 

Inhomogeneous lighting correction

 

Gama correction

 

Noise generation

 

Arithmetical and logical operation

 

Look Up Tables

 

2D convolution

 

Objects drawing

 

Morphological operations

 

Nonlinear filters

 

Bit fields

 

Sobel edge detection

 

Averaging

 

Colour images

 

 MIPS 2.0 - Medical/Microscopy Image Processing Software

 

 

 

Cutout image domain

 

Moving the domain

 

Resizing

 

Rotation

 »

FFT resizing

 

 

FFT RESIZING


Edit / FFT Size

The discrete Fourier transform supported by MIPS 2.0 can only process square images, i.e. images where the height of the image is equal to its width and this size must be expressible as a power of two. E.g. 64 x 64, 128 x 128, 256 x 256. If the image does not meet these conditions, this window transforms the the image to the nearest larger dimension by padding with zeros, padding with the image, or by mirroring the image so that the image meets these conditions.

Preview

 

Examples

 

         Original image
     (dimension 200 x 128)

 

 

 

   

 

        Image complemented by zeros                Image complemented by repetition

 

 

 

 

     Image complemented by mirroring

 

 


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