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СЕКЦИЯ «МАТЕМАТИКА И ИНФОРМАТИКА»
УДК 621
APPLICATION OF DIGITAL IMAGE PROCESSING FIELDS
F.E. Qodirov
1
, D.A. Akbarova
2
, M.A. Turdiyeva
1
1
Karshi branch of Tashkent University of Information Technologies named after
Mohammed al-Khwarizmi, Uzbekistan, Karshi
2
Tashkent State Technical University, Uzbekistan
Annotation
: This article provides feedback on the applications of digital image pro-
cessing. Detailed information is provided on what digital processing of images is, what results
can
be achieved through it, and the areas of application.
Key words:
Digital processing of images,
digital image, interpretation or comprehension,
Computer
graphics, Scientific visualization programs, animation programs, Adobe Photoshop.
Digital processing of images.
Images are defined
by a two-dimensional
function f (x, y), where x and y are in a given space (more precisely in a plane)
and where the value of f is called the intensity or gray phase at any point (x, y)
in the coordinate. . In some literatures it is called brightness. If the quantities x,
y, and f assume discrete values, they are called digital images. Digital image
processing refers to the processing of digital images using digital computers. We
know that any digital image is broken down into
finite elements in specific
fields and takes on defined values. These elements are called image elements or
pixels (the word pixel means picture element in English and translates as image
element. In English literature, the abbreviation pel is used).
Sight is the most perfect human sensory organ, because visual images
play an important role in human perception. At the same time, some people re-
ceive electromagnetic
radiation in a certain range, while machine image pro-
cessing receives almost the entire electromagnetic spectrum of radio waves from
gamma rays. For processed images, the studied images serve as the source. For
example, ultrasound images,
electron microscopy, or computer images. Thus,
digital image processing involves a wide range of applications. In general, there
is no beginning or end to image processing in other adjacent areas, such as im-
age analysis and machine viewing. Sometimes there is a limit to this concept,
and image processing is studied as a science when there are images of the input
and output process.
The field of image analysis (sometimes "interpretation" or "comprehen-
sion" of an image) is related to computer vision and image processing. There is
no clear boundary in the entire range from image processing to machine view-
ing, but the computerization process can be divided into lower, middle, and up-
per stages. The process before processing images
to increase the clarity and
brightness of the images and reduce noise is called the sub-stage. The lower
stage is characterized by the presence of input and output images. The interme-
diate stage includes image segmentation (distribution of images in a defined ob-
ject or area), object description, and compression in a form that is easy to pro-
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cess on a computer, as well as the classification of individual objects. The mid-
dle stage process is characterized by border areas,
boundary lines, and other
clear markings on the images. Finally, the higher level includes visual tasks in
image
analysis, and "understanding" in object recognition.
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