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INTERNATIONAL JOURNAL FOR RESEARCH & DEVELOPMENT IN
TECHNOLOGY Volume-5,Issue-5 (May-16)
ISSN (O) :- 2349-3585
All rights reserved by www.ijrdt.org
56
LABVIEW DESIGN FOR EDGE DETECTION USING
LOG GABOR FILTER FOR DISEASE DETECTION __________________________________________________________________________________________
Vipul Kumbhalwar1, Swati Dixit
2
12M.Tech student, Department of Electronics and Telecommunication,
12M.Tech student, G.H.Raisoni College Of Engineering and Technology, Maharashtra, India.
Abstract –Edge detection is an important tool in the field of
image processing, Disease like tonsillitis, tumor, fracture
and many more can be detect and cured in its early stage, by
detecting the edges of that disease, so edge detection having
always given first attention in the field of image processing.
In this paper tonsillitis detection module is design in
LabVIEW and then it implemented on NI Sbrio 9631 FPGA
kit. The algorithm used is SOBEL operator and for best
ridges and fast processing log gabor filter is used. It is used
in various applications as medical image processing, object
detection etc. The main aim behind this is to process the
image and use it in various applications using FPGA
platform. Field Programable Gate Array(FPGA) has an
huge embedded multipliers as well as large amount of
internal memory for real time application which is use in
digital image processing, by this way parallisiom is possible.
Hence, Field Programmable Gate Array always provides the
platform for real time image processing with higher
performance as compare to microprocessor and DSPs
(Digital Signal Processors). The FPGA image preprocessing
system architecture which uses Sobel algorithm and log
gabor filter to realize the edge detection is proposed here.
LabView NI Vision assistant is used for better performance
and for simplified design, by using NI Vision Assistant
different image pre-processing can be done.
Index Terms- Edge detection, Sobel operator, Log-Gabor filter,
LabVIEW 14.0, NI Vision Assistant, LabVIEW FPGA.
I-INTRODUCTION
Image processing is always having the important, broad,
fundamental and active area in the field of medical,
surveillance, authentication and many more application. In term
of medical disease, accurate results is always preferred, Medical
applications always consist with the different types of image
processing techniques like image enhancement method, image
pre-processing image post-processing, focused area selection
and object detection etc, and this all techniques/methods depend
on the edge detection, hence edge detection is always sensitive
and research area. Detection of some disease like tonsillitis,
tumor and fracture is depend on detection of edges of disease
and for this, pixel to pixel calculation is performed in image
processing. In this paper one of the finest edge detection method
is used that is sobel edge operator, mask of sobel operator is
work on the entire image and give us sharp and accurate edges
so that disease can be detect, and the algorithm is implemented
on FPGA kit. The main aim behind this procedure is to process
the image processing and use it in various applications for
medical application using FPGA. LabVIEW software is very
active and powerful tool, When it comes to creating DAQ
applications. LabVIEW includes a set of Virtual instruments
( VI ), that it let you configure, data acquire from, and transfer
data to data acquisition (DAQ) devices. Often, in LabVIEW one
device could perform a variety of functions, such as analog to
digital (A/D) conversion, digital to analog (D/A) conversion,
digital input and output, as well as counter/timer operation, Each
device supports different DAQ and signal generation speedswith
respect to image processing. Also, each data acquisition device
is designed for specific hardware, platforms and operating
systems for digital image processing. After reading the pixels of
an image, the algorithm is applied in VHDL, then processing the
image on FPGA as an hardware implementation, edge detected
image is displayed on LabVIEW front panel. The entire
simulation of the above process is done VHDL using XILINX
NI Sbrio 9631 FPGA, and to display input and output image
Lab VIEW is used. Field Programmable Gate Array (FPGA) is
a reconfigurable device and because of use of such devices the
time to market cost and time reduces. Also it becomes very easy
Paper Title:- LABVIEW DESIGN FOR EDGE DETECTION USING LOG GABOR FILTER FOR DISEASE DETECTION
ISSN:-2349-3585 |www.ijrdt.org 57
for the result verification and debugging processing. FPGA
implementation could become easy because of NI Vision
Assistant as it having scripts format which can easily
implemented on any image. Design scripts can covert for
LabVIEW code which is possible for edge detection. In
Labview image processing image acquisition, image processing,
different types of filter can use for noise remove per pose. With
the help of Math tool scripts kit we can call any mat lab function
to LabVIEW as this is the advantage for LabVIEW user. Here
Log Gabor filter is called from matlab for noise remove purpose
and for fast processing.
II.PROPOSED METHODS
A. Block Diagram for Disease Detection algoritham
Block diagram of disease detection module is shown below, it
having different blocksets which used for image processing
perpose. In LabVIEW for edge detection colo plane
extraction, image thresholding, IMAQ mathtool kit is
Fig 1. Proposed disease detection model
B. Image Acquisition with IMAQ and Preprocessing
In given design camera is used for real time application,
camera will capture image that will be normal image or
disease detected image and later it transfer to LabVIEW for
image processing. IMAQ tool detect input image, acquire it
for LabVIEW processing. In image processing first RGB
image converted in grayscale image with the help of color
plane extraction. Color plane extraction extract one basic color
from RGB image and at output grayscale image we found,
Here mathlookup (exponential) and image thresholding
function used for background color adjustment.
Fig 2. Image Acquition in LabVIEW
After image acquisition part LabVIEW apply some basic
processing for fine result and for better noise reduction so that
resultant output will be accurate.
C. Image processing by Log Gabor filtering
Basically Log Gabor filter is used for image filtering and for
best ridges of an image, which is shown in system.
Fig 3. Implementation of log gabor filter
D. Sobel Edge Operator
Sobel edge operator is nothing but a edge detecting
methodology used for finding edge detection in digital image
processing. Result of sobel edge detector is quite better as
compare to other edge detector like canny edge detector, Robert
operator, Prewit operator and laplasian filter. Mask of sobel
edge detector having two filter Hx filter and Hy filter, one for
horizanal pixel operation and other one is for vertical pixel
Paper Title:- LABVIEW DESIGN FOR EDGE DETECTION USING LOG GABOR FILTER FOR DISEASE DETECTION
ISSN:-2349-3585 |www.ijrdt.org 58
operation which mean horizontal edge detection and vertical
edge detection.
following is the sample matrix for vertical and horizontal edge
detection of sobel operator.
Here the direction of edges can be determine by using
following formula,
GM(x,y)= 22 HyHx
Fig 4. Sobel edge detection by LabVIEW VI
Fig 5. Result of sobel edge detector
III. LABVIEW CODING FOR DISEASE DETECTION
Here LabVIEW coding for tonsillitis disease detection is shown
below, which consist of an image acquisition, image
preprocessing, Log gabor filtering, mathlookup and image
thresholding.
Block diagram of disease detection module represent different
type of processes used for finding the disease detection. Block
diagram process all parameter and then results show on front
panel.
Fig 6- Block diagram of Disease detection module
Paper Title:- LABVIEW DESIGN FOR EDGE DETECTION USING LOG GABOR FILTER FOR DISEASE DETECTION
ISSN:-2349-3585 |www.ijrdt.org 59
IV. HARDWARE IMPLEMENTATION
In Digital image processing where the hardware and Software
both combination comes, the testing get reduced and
performance will increase, as software and hardware both
create the strongest parameter in medical application. As only
software has become less meaningful as image size and bit
depths grows larger. FPGA are used for high speed
processing in images. With the development of FPGA, a
large amount of data are captured using satellite and ground
based detection systems. Here in image processing, Labview
platform consist of NI Single Board RIO 9631 ( SbRIO 9631).
Single board rio is a product from national instruments which
has XILINX Spartan 3 FPGA in it. It also consist of a
microprocessor which is from Freescale Semiconductor.It also
has analog I/O and digital I/O.
Fig 7. NI Sbrio FPGA kit
Implementation of disease detection module possible only when
the block diagram design will only in LabVIEW fpga tool. For
the implementation on LabVIEW FPGA, we required VI file
and Host file. NI SbRIO is an high speed FPGA tool used in
digital image processing.
Fig 8. FPGA Target VI.
V. PROJECT EXPLORER
The project explorer window shows different parts that a
Labview project constitutes. An addition of VI’s can be done
here. The project explorer shows the FPGA target which
specifies the FPGA board, real time VI or also called as host VI
and the FPGA VI.The FPGA target runs on FPGA VI.
Fig.9(a), Project Explorer
VI. VHDL Bit file Genaration
Below figure showing VHDL bit file genaration for hardware
implementation,
.Fig. 9 (b) VHDL Bit file Genaration
Fig 9 (c). Bit File generation report
Paper Title:- LABVIEW DESIGN FOR EDGE DETECTION USING LOG GABOR FILTER FOR DISEASE DETECTION
ISSN:-2349-3585 |www.ijrdt.org 60
After the code generation successfully, VHDL bit file dump into
SbRIO 9631 for the hardware implementation.When result
compare, found that processing time of software and hardware
is different, as hardware took less time for operation as compare
to software.
Fig 9 (d ). Code deployment process
VII. RESULTS
Result of disease detection by using Sobel operator, Log gabor
filter and with LabVIEW are shown below in fig 10(a), (b),(c),
and (d),
Fig 10(a) Disease detection with sobel operator
Fig 10(b) Disease detection with sobel operator
Fig 10(c) Disease detection with sobel operator
Fig 10(c) Disease detection with sobel operator
VIII. CONCLUSION
Here the paper proposed the disease detection module with the
help of sobel edge detection algorithm and log gabor filter. It
conclude that the LabVIEW is totally compatible for digital
image processing. Also paper proposed that the hardware and
software architecture for the sobelcedge detection which is
designed for the NI Single board RIO FPGA platform. As
LabVIEW is graphical programming language it is easy to
understand and also easy for implementation.
VIII. REFERENCES
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Paper Title:- LABVIEW DESIGN FOR EDGE DETECTION USING LOG GABOR FILTER FOR DISEASE DETECTION
ISSN:-2349-3585 |www.ijrdt.org 61
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