What is the morphological image processing?

Morphological Image Processing Is and Technique for Modifying The Pixels in An Image. In the case of gray stage, pixels are identified by binary values ​​0 and 1 and the process is performed either by means of sophisticated image processing algorithms or less mathematically complicated operations. These include Erosion and Dilation as Well As Opening and Closing. The Purpose of Morphological Image Processing Is To Remove Unwant Artifacts From An Image or Improve Its Clarity. It is used in applications such as fingerprint processing, viewing images from cosmic telescopes and analysis of medical scans. Background Pixels are Represented Separates and Are White. The erosion of erosion converts pixels associated with the boundary of the object to the pixels in the background, while with expansion the border background of the pixels turns into those associated with the object. Objects Become Smaller during erosion and magnification process or even combine during dilation.

both operations can be combined in the morphological image processing, so the image can be adjusted by erosion and then expansion, resulting in opening. In this way, fibers and insulated pixels can be removed from the object to smooth out the image. Background pixels can be filtered by means of a shut -off operation that can remove holes and pixels that are already known that they are no longer in the right place. Another morphological technique of image processing is called skeletonization, during which extra pixels can be removed to form individual rows. It is often used to process fingerprints.

Application of image processing uses several rules to change image visualization, or use SET theory, mathematical concept, which is often more sophisticated than required. When changing the pixel from the background object, the program considers only the pixels associated with the object. It also concentrates on the outskirts, so that neighboring pixels in the background are analyzed before the black pixels change. Should –li change pIxel of the object must be bordered by more than one similar pixel, with removal of pixels at the end of the line can be distorted.

The program of the morphological image processing is based on the idea of ​​maintaining objects whole. If the pixel removes one object, the program will not remove it. Image processing technologies consist of various software programs that can allow you to play image changes, rewrite changes to return to preferred configurations, and analysis on how specific changes affect parts of the image.