| Date post: | 17-Dec-2015 |
| Category: |
Documents |
| Upload: | clifton-floyd |
| View: | 214 times |
| Download: | 0 times |
DDetecting the excessive activation etecting the excessive activation of the ciliaris muscle on thermal of the ciliaris muscle on thermal
imagesimages
Balázs HarangiFaculty of Informatics, University of Debrecen
SSIP 2009, 10 July 2009, Debrecen, Hungary
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
2
OverviewOverview
Aim of research:• Our primary aim in this field is to set up
a system which is able to alert, if the activity of the ciliaris muscle is suspected to be excessive.
• The main line of the research is to detect the extra quantity of heat caused by the excessive activity of the ciliaris muscle on thermal images.
• Final aim is to realize a system that is able to automatically diagnose.
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
3
Background of the researchBackground of the research
The ciliaris muscle
• A ring shaped muscle surrounds the crystalline lens in the eye.
• The muscle contracts when someone looks at a near object and relaxes when someone looks far.
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
4
Background of the researchBackground of the research
Problem of the ciliaris muscle
• The muscle does not relax in all cases, and thus, the crystalline lens does not flatten perfectly.
• The traditional ophthalmologic examination by a refractometer may provide a false dioptre value in this case.
• Fault of measurement cases vision improvement, head-ache, reading and other sight disorder.
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
5
Background of the researchBackground of the research
Aim and possible exploitation of the research
Since the ciliaris muscle is close to the exterior surface of the eye, we have the opportunity to take advantage of thermal monitoring of it.
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
6
Steps of ResearchSteps of Research
Images captured by Somatoinfra
384 x 288 pixels,8-bit intensity, 256-color images
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
7
Steps of ResearchSteps of Research
The usage of grayscale images
Usually color palettes are applied for displaying in order to let smaller differences to be easily detectable for a human observer, but for simplicity, we change the color representation to grayscale.
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
8
Steps of ResearchSteps of Research
Image normalization
)(
)(
D
EThe temperature of the skin depends on the external weather or the internal temperature of the examine room. For these reasons, we inserted a normalization step into our system to eliminate these differences.
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
9
Steps of ResearchSteps of Research
Localization of the eye
We modeled the eyes with ellipses which are subdivided into subregions.Thus, we can focus to the interesting regions only.
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
10
Steps of ResearchSteps of Research
First-order statistical descriptors:
WALK RUN
• Mean of intensity histogram:
• Variance of intensity histogram:
• Skewness of intensity histogram:
• Kurtosis of intensity histogram :
• Energy of intensity histogram :
• Entropy of intensity histogram :
)(1
0
iipL
iH
)()( 21
0
ipiH
L
iH
3
31
0
)()(
H
H
L
i
ipi
3)()(
4
41
0
H
H
L
i
ipi
)(21
0
ipL
i
)())((log2
1
0
ipipL
i
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
11
Steps of ResearchSteps of Research
Training and classification
We gain 144 dimensional feature vectors per eye if all the subregions are involved. After then we considered the kNN classifier (with k=10) to decide whether a test image was labeled as healthy or diseased.
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
12
Program developmentProgram development
Program language: The sourcecode is written in Matlab, we used the
following tools:
– Image Processing Toolbox:• imread(); imshow()• imellipse(); vertex(); poly2mask()• graycomatrix(); graycoprops()
– Statistics Toolbox:• skewness(); kurtosis()
– and Bioinformatics Toolbox:• knnclassify()
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
13
Functions:• Normalization of heat scale• Definition of region of eyes
• Extraction of features• Classification
Program developmentProgram development
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
14
Conclusion and DiscussionConclusion and Discussion
DatabaseOur initial training database contains
20 healthy and 20 diseased images
manually labeled by a clinical expert.
(diseased) (healty)
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
15
Conclusion and DiscussionConclusion and Discussion
Result:Our simple algorithm is tested on small databased. Result of this test:
FP FN Overall
Our method (selected regions) 3/20 2/20 75%
Our method (all regions) 4/20 3/20 65%
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
16
Conclusion and DiscussionConclusion and Discussion
Fault results:
True positive False positive
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
17
Conclusion and DiscussionConclusion and Discussion
Fault results:
True negative False negative
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
18
Conclusion and DiscussionConclusion and Discussion
Summary• Basic functions of the finally system are ready and
acting.• Results of the decision are good enough, but we
have to refine.
Plans• A current database should be extended • More specify results• Automatic location of the eye region• Finding the critical point of eye on normal picture
(corner, pupil, ciliaris muscle)• Find an appropriate physical model to get rid of
thermal distortion of orbit.
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
19
Decision of Decision of ophthalmologistophthalmologist
One way to more exact results:The practical diagnostics is based on comparing the thermal value of the ciliaris muscle with the centre of the cornea.
Overview
Background of the research
Steps of research
Program development
Conclusion and Discussion
Decision of ophthalmologist
23.04.18. 15:50
20
Thank you!Thank you!
Thank you for your attention!
![Southern Crabgrass Row Crop [Digitaria ciliaris (Retz ... · Problems Created Southern crabgrass [Digitaria ciliaris (Retz.) Koeler][Digitaria sanguinalis (L.) Scop. var. ciliaris](https://static.documents.pub/doc/80x56/5b9a56e509d3f2dc2b8d6fc8/southern-crabgrass-row-crop-digitaria-ciliaris-retz-problems-created-southern.jpg)
