:veloped by the
These problems
r relics and lack
< of images
ne lasers, high-
lution amateur
s investigation
€ bulb function
ow only outline
of relics can be taken and stored in memory while a relic is
moving perpendicular to the digital camera. Ortho image can
be acquired by synthesizing line image and Depth (DEM)
image also can be acquired by synthesizing the line image
since the Z-coordinate was given as the changing values of the
actuator. If the camera calibration was performed previously,
the image coordinate for each line image can be transformed
into 2D object coordinate since the Z-coordinate was given.
Additionally, fitting a band pass filter, line images for relics
can be taken without dark space. However, imaging for shadow
Calibration Mark
Control Moving Pitch
Digital Camera
(Slide Movement by Actuator)
A.
A . x
Sub-Position
— Front-
Position .
Controller
(Camera + Camera Actuator)
Controller
(Actuator)
areas occurring in hollow areas on complicated relics or faint
areas at the top of columnar relics are still issues.
In order to resolve these problems, calibration marks are fitted
to the flame, and stereo image for relics are taken previously at
the two camera positions where the front-position (front of the
relics) and sub-position (slid the camera to side way).
Calibration marks were taken with relics simultaneously at this
time. The digital camera is slide on the actuator in this paper.
Line Laser
Actuator
(One Axis)
PC
T ~~
Control Camera Shutter and Slide Movement
Fig.2 Refined Ortho Imaging System
Table 1 System Components
Digital Camera
Dimage7 (Minolta) CCD:5.2M(pixel)
Line Laser SMF-501L-670 (M)-10-30 (MORITEX) Wave Length: 670nm
Actuator (One Axis)
IS-S-X-M-8-60-500(IAI) Minimum Moving Step: 0.1mm
PC (CPU & Memory)
CPU: Pentium4 1.7MHz, Memory: 1024MB( 1GB)
3. INTERPOLATION METHOD
Figure 3 shows flow of refined system, and Figure 4 shows
interpolating process. In this system, stereo images for
calibration marks and relics are taken simultaneously and
previously. These images are used for interpolating, and in the
refined system, human intervention is requested in calibration
process, but other processes can be performed automatically.
In order to interpolate omission parts, comparison with central
and ortho image is performed in this system, but automatic
identification of shadow area and faint area is impossible only
comparison with the both image due to different image mode
such as ortho and central projection.
In order to resolve this point, central projection image is
formed by using ortho projection image and DEM image, and
called as simulated central projection image (simulated image)
in this paper.
Consequently, identification of shadow and faint area can be
performed by overlapping with simulated central projection
image and ortho projection image. Figure5 shows identified
omission parts.
—485-