Đồ án tốt nghiệp - Design of an image acquisition system for the detection of occlusal dental P

HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY OF ELECTRICAL AND ELECTRONICS ENGINEERING
DEPARTMENT OF ELECTRONICS - BIOMEDICAL ENGINEERING
-

GRADUATION THESIS
BIOMEDICAL ENGINEERING
PROJECT:

DESIGN OF AN IMAGE ACQUISITION
SYSTEM FOR THE DETECTION OF
OCCLUSAL DENTAL PROBLEMS
Advisor: Assoc. Prof. Dr. NGUYEN THANH HAI
Nguyễn Phúc Bảo
Student ID: 16129006
Nguyễn Lê Gia Bách
Student ID: 16129008

Ho Chi Minh City, August 2020

HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY OF ELECTRICAL AND ELECTRONICS ENGINEERING
DEPARTMENT OF ELECTRONICS - BIOMEDICAL ENGINEERING
-

GRADUATION THESIS
BIOMEDICAL ENGINEERING
PROJEC TS NAME:

DESIGN OF AN IMAGE
ACQUISITION SYSTEM FOR THE
DETECTION OF OCCLUSAL
DENTAL PROBLEMS
Advisor: Assoc. Prof. Dr. NGUYEN THANH HAI
Nguyễn Phúc Bảo
Student ID: 16129006
Nguyễn Lê Gia Bách
Student ID: 16129008

Ho Chi Minh City, August 2020
i

HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION

THE SOCIALIST REPUBLIC OF VIETNAM

Faculty of Electrical &amp Electronics Engineering
Department of Electronics Industrial-Biomedical Engineering

Independence – Freedom– Happiness
o0o-Ho Chi Minh City, July 30, 2020

MISSION
Student name:
Major:
Type of training:
Year:

Nguyễn Phúc Bảo
Nguyễn Lê Gia Bách
Biomedical Engineering
Regular full time
2016

Student ID: 16129006
Student ID: 16129008
Major ID:
D520212
Code:
1
Class:
161290B

I. GRADUATION PROJECT: DESIGN OF ONE IMAGE ACQUISITION SYSTEM
FOR DETECTION OF OCCLUSAL DENTAL
PROBLEMS
II. MISSION
1. Initial resources:
- Raspberry Pi 3 B plus.
- Camera (F) for Raspberry.
- Human teeth.
- Infrared lights.
2. Implementation:
- Understanding the anatomy of human teeth.
- Understanding the basic concept of infrared light and how it impacts enamel.
- Design and fabricate a 3D model.
- Use Python programing language.
- Design PCB and fabricate a power supply board.
- Design a prototype version.
- Project evaluation.
III. DATE OF DELIVERY:
IV. DATE OF COMPLETION:
V. ADVISOR NAME:

ADVISOR

15/03/2020
03/08/2020
Assoc. Prof. Dr. NGUYEN THANH HAI

DEPARTMENT OF ELECTRONICS INDUSTRIALBIOMEDICAL ENGINEERING

ii

HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION THE SOCIALIST REPUBLIC OF VIETNAM
Faculty of Electrical &amp Electronics Engineering
Independence – Freedom– Happiness
Department of Electronics Industrial-Biomedical Engineering
o0o

Ho Chi Minh City, July 30, 2020

SCHEDULE
Student name
...

...

Raspberry
Pi 3 B

Raspberry
Pi 3 Model
A+

Raspberry
Pi Zero

1.5 GHz

1.4 GHz

1.2 GHz

1.4 GHz

1 GHz

4

4

4

1

Price
CPU Clock

No. of Core 4

DEPARTMENT OF ELECTRONICS - BIOMEDICAL ENGINEERING

44

APPENDIX
GPU

Video Core
IV

Video Core
IV

Video Core
IV

Video Core
IV

Video Core
IV

RAM

1GB , 2GB, 512MB
4GB
DDR2
LPDDR4

1GB DDR2 512MB
DDR2

512 MB

Camera

Yes

Yes

Yes

Yes

Yes

GPIO

Yes

Yes

Yes

Yes

Yes

USB

2x USB3.0
+ 2x
USB2.0

4x USB2.0

4x USB2.0
+ micro
OTG

1xUSB 2.0

micro +
micro OTG

Power
ratings

1.25A @5V 1.13A @5V 1.34A @5V 200mA

160mA

7.4 THE CODE OF MAIN PROGRAM
##import lib
import cv2
import os
#Get name
name = input(Enter a sample name: )
# define the name of the directory to be d
dir_path = /home/pi/Desktop
path = dir_path+/+name
print(path)
## dir
try:
os.makedirs(path)
except OSError:
DEPARTMENT OF ELECTRONICS - BIOMEDICAL ENGINEERING

45

APPENDIX
print (Creation of the directory %s failed % path)
else:
print (Successfully d the directory %s % path)
##take photos
cam = cv2.VideoCapture(0)
cam.set(cv2.CAP_PROP_FPS,15)
print(Press spacebar to take photo!,)
print(Press Esc to Escape)
img_counter = 1
while True:
ret, frame = cam.read()
out = frame[100:280,220:400]
#Convert RGB to Gray
out_gray = cv2.cvtColor(out, cv2.COLOR_BGR2GRAY)
# Loc nhieu bang bo loc GaussianBlur
out_blur = cv2.GaussianBlur(out_gray, (3, 3), 0)
#Histogram Equalization
hist = cv2.equalizeHist(out_blur)
#Increase contrast and brightness
alpha = 1.1
beta = 20
new_out = np.zeros(hist.shape, hist.dtype)
for y in range(out.shape[0]):
new_out[y] = np.clip(alpha*hist[y] + beta, 0, 255)
# Binary
ret1, thresh =
cv2.threshold(hist,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)
ret2,thre = cv2.threshold(new_out,ret1-60,255,cv2.THRESH_TOZERO)
#Show Image

DEPARTMENT OF ELECTRONICS - BIOMEDICAL ENGINEERING

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APPENDIX
cv2.imshow(Caries, thre)
if not ret:
break
k = cv2.waitKey(1)
if k == 27:
# ESC pressed
print(Escape hit, closing...)
break
elif k == 32:
# SPACE pressed
img_name = {}_Original.png.format(img_counter)
cv2.imwrite(path+/+img_name, out)

img_name = {}_Gray.png.format(img_counter)
cv2.imwrite(path+/+img_name, out_gray)

img_name = {}_Caries.png.format(img_counter)
cv2.imwrite(path+/+img_name, thre)
print(Captured ,img_counter, Image(s))
img_counter += 1
cam.release()
cv2.destroyAllWindows()

DEPARTMENT OF ELECTRONICS - BIOMEDICAL ENGINEERING

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