What is Fourier's image processing?
Fourier image processing usually decomposes the image by representing each component as if it were part of the frequency. The points in the figure are generally identified by the location of the column and rows, while mathematical processing is usually done on the basis of a graphical frequency wave. The physical location of the parts of the image is usually an input. For the output, image processing algorithms are often used by Fourier transformation for computer analysis, filtering, compression and reconstruction. These operations in Fourier image processing are usually performed using a number of mathematical formulas.
vertical, or up and down and horizontal positions passing, are generally taken into account numerically. Algorithms of image processing can be used to transform vertical columns and horizontal rows to the equivalent representation of each part of the picture. Some parts of the picture are represented at low frequencies, while others correspond to high zip formulas; For example, another imageThe microscopic circuit can be formulated to show the size, phase or other aspect of the frequencies. The size in Fourier image processing generally defines how much of a certain frequency exists, while the location of each type can be shown by a phase.
whether the image is clear or blurred can affect the resulting representation after processing Fourier's image. The edges in the figure often also affect patterns, while shapes such as letters sometimes show characteristic patterns with image filtering. The image with many objects of the same shape and size can form a symmetrical formula, while less symmetrical objects tend to create a less defined structure in Fourier image processing.
techniques related to this type of image processing technology include optical diffraction. It is a common Fourier image of Ing and is often the beginning of the analysis and processing of images. AcrossOptical diffraction has sometimes been used to analyze structural information in biological samples. The process usually includes the use of a laser and a tool called an optical diffractometer in a scientific laboratory. Related image processing applications may include visual inspection of photos from microscopes, crystal analysis and three -dimensional reconstruction.
Optical filtering is another form of Fourier image processing, usually performed in pictures with elements that can be divided by strict lines by developing identical components. Disorders called noise can be removed from images to make microscopic images clearer. Fourier images are also often applied to moving images, up to 30 frames per second; The time required to complete such processing usually depends on the speed of the computer.