Image processing also helps to
increase the quality, gain time, practicality,
give birth to new job units pursuant to the
area it’s used. Generally in the qualitybased implementations of the digital
images.
1) Determining of the dimensional
aspects,
2) Classification according to the color
quality criteria,
3) Analysis of the images,
4) Examining of the images,
5) Determining of the surface
modifications
Processes take place. Ying-dong et al.
[2] carried out the instant measurement of
the size of the spray deposit used for
giving shape to the material by executing
image processing techniques during the
process. Shaping processes with spray is
the spraying of the particles partaking in
the liquid metal with a gas of high speed.
Generally to measure the residue amounts
accurately, image processing algorithm is
used
In measuring the residue amounts,
normal CCD camera was used. In the
image acquired with system camera, it was
designed to be three fazed as cleaning of
the noises, edge detection and the deposit
length measurement
Bellaire et al. [3] used object
recognition for reconstruct by benefitting
from the color values in the images. This
study presents the two and three
dimensional object recognition system
with the info obtained from colorful
images. In acquiring the info regarding the
edge and color distribution partaking in the
colorful images, an image-based model
that contacts to the identified image point
was used. In different studies that matches
the real image data obtained with the
interpretation of the image with the result
values and that adjusts these to one
another, image features are determined
with the label use and edges in the images
become determined due via this label
Separation of the object edges and
sides in terms of type is done with the
correct and proper usage of the location
estimation. When interpreting the images
as 3B, grey color values of the image is
used. Obtaining images to examine the