Applications
1. Intelligent Transportation Systems – This technique can be used in Automatic number plate recognition and Traffic sign recognition.
2. Remote Sensing
– For this application, sensors capture the pictures of the earth’s
surface in remote sensing satellites or multi – spectral scanner which
is mounted on an aircraft. These pictures are processed by transmitting
it to the Earth station. Techniques used to interpret the objects and
regions are used in flood control, city planning, resource mobilization,
agricultural production monitoring, etc.
3. Moving object tracking
– This application enables to measure motion parameters and acquire
visual record of the moving object. The different types of approach to
track an object are:
· Motion based tracking
· Recognition based tracking
4. Defense surveillance –
Aerial surveillance methods are used to continuously keep an eye on the
land and oceans. This application is also used to locate the types and
formation of naval vessels of the ocean surface. The important duty is
to divide the various objects present in the water body part of the
image. The different parameters such as length, breadth, area,
perimeter, compactness are set up to classify each of divided objects.
It is important to recognize the distribution of these objects in
different directions that are east, west, north, south, northeast,
northwest, southeast and south west to explain all possible formations
of the vessels. We can interpret the entire oceanic scenario from the
spatial distribution of these objects.
5. Biomedical Imaging techniques
– For medical diagnosis, different types of imaging tools such as X-
ray, Ultrasound, computer aided tomography (CT) etc are used. The
diagrams of X- ray, MRI, and computer aided tomography (CT) are given
below.
.jpg "Representational Image Of X- ray, MRI, and computer aided tomography (CT)")
Fig. 2: Representational Image Of X- ray, MRI, And Computer Aided Tomography (CT)
Some of the applications of Biomedical imaging applications are as follows:
· Heart
disease identification– The important diagnostic features such as size
of the heart and its shape are required to know in order to classify the
heart diseases. To improve the diagnosis of heart diseases, image
analysis techniques are employed to radiographic images.
· Lung
disease identification – In X- rays, the regions that appear dark
contain air while region that appears lighter are solid tissues. Bones
are more radio opaque than tissues. The ribs, the heart, thoracic spine,
and the diaphragm that separates the chest cavity from the abdominal
cavity are clearly seen on the X-ray film.
· Digital
mammograms – This is used to detect the breast tumour. Mammograms can
be analyzed using Image processing techniques such as segmentation,
shape analysis, contrast enhancement, feature extraction, etc.
6. Automatic Visual Inspection System – This application improves the quality and productivity of the product in the industries.
· Automatic
inspection of incandescent lamp filaments – This involves examination
of the bulb manufacturing process. Due to no uniformity in the pitch of
the wiring in the lamp, the filament of the bulb gets fused within a
short duration. In this application, a binary image slice of the
filament is created from which the silhouette of the filament is
fabricated. Silhouettes are analyzed to recognize the non uniformity in
the pitch of the wiring in the lamp. This system is being used by the
General Electric Corporation.
· Automatic
surface inspection systems – In metal industries it is essential to
detect the flaws on the surfaces. For instance, it is essential to
detect any kind of aberration on the rolled metal surface in the hot or
cold rolling mills in a steel plant. Image processing techniques such as
texture identification, edge detection, fractal analysis etc are used
for the detection.
· Faulty
component identification – This application identifies the faulty
components in electronic or electromechanical systems. Higher amount of
thermal energy is generated by these faulty components. The Infra-red
images are produced from the distribution of thermal energies in the
assembly. The faulty components can be identified by analyzing the
Infra-red images.
