What is 2D image processing?

Two -dimensional (2D) image processing program is created to work on 2D images instead of three -dimensional (3D) images that have different axes. One of the 2D images processing tasks is to handle the image, either through the filter or by making some other image change. Another part of 2D image processing is an image analysis that can be as specific as pixels analysis or wider color or light analysis. When a change or analysis is made, the image processor must get out of these changes so that it is visible on the computer screen or can create a message about the image itself.

If someone takes a photo of real life, then this area is in 3D, but the picture is only in 2D. This is because the image has only X and Y axis, while the 3D computer image is programmed to have X-, Y- and Z axis. You can add an o to the programWindles via adigital camera that automatically compresses an image into a feasible file or scanner.

Manipulation is one of the main tasks of 2D image processing. It can be any change, such as drawing in the picture, changing color, adding text or using a gradient. Many changes are made using a filter that passes and changes them. For example, the Sepia filter takes the colors of the original image and turns them to reddish brown.

Analysis is another import function of 2D image processing. The image analysis can be able to detect hidden information or clean an image to make it easier to view. For example, the processing of a medical image creates high -contrast images to facilitate the view of blood vessels and bones; Meteorologists use filters to change the patterns of light and wind to visible colors to analyze the weather. This helps the user to see the things that the human eyeHe cannot perceive, at least not easily.

after the change or analyzed picture must be issued. If the screen output is needed, the 2D image processing program will be displayed on the screen. The message output creates a text message about what has been changed or found during processing; For example, if it was 193. Pixel changed from red to green, the report would emphasize this change.

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