X-Ray (2D) and CT-scanned (3D) image matching for person identification
Cataloged from PDF version of thesis report.
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| Kieli: | English |
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BRAC University
2018
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| Linkit: | http://hdl.handle.net/10361/9020 |
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10361-9020 |
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10361-90202022-01-26T10:15:51Z X-Ray (2D) and CT-scanned (3D) image matching for person identification Hossain, Khondker Fariha Emi, Israt Fariha Liza, Moumita Ali, Md. Haider Uddin, Dr. Jia Department of Computer Science and Engineering, BRAC University X-ray CT scan 2D matrix MRI scan Person identification Human identification Time optimization Space optimization Cataloged from PDF version of thesis report. Includes bibliographical references (page 35-37). This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Development in medical science has created a vast research area in medical image processing. Superimposition of different type of diagnostic images like X-ray, CT scan, MRI scan which provide accuracy in identification of body organ has brought a great help in medical surgery or surgical planning. Our aim is to improve accuracy in human identification and space and time optimization for X-ray and CT scanned images which we use as our dataset. We have applied different edge detection method to find out the best boundary image and also have superimposed X-ray and CT scanned edge images of same patient to improve the level of accuracy. Then, thresholding is run on X-ray and CT scan images using various way to compare the value obtained in different method. In addition, sum of the Euclidean distances has been measured which gives almost similar value for different patients’ CT-scan and X-ray image. On the other hand, it produces quite different value applying on same patient’s dataset. Moreover, we optimize time along with space by compressing 2D matrix into a single column matrix implementing training method. Khondker Fariha Hossain Israt Fariha Emi Moumita Liza B. Computer Science and Engineering 2018-01-11T05:49:19Z 2018-01-11T05:49:19Z 2017 8/21/2017 Thesis ID 13301103 ID 13301080 ID 13301105 http://hdl.handle.net/10361/9020 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 37 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
X-ray CT scan 2D matrix MRI scan Person identification Human identification Time optimization Space optimization |
| spellingShingle |
X-ray CT scan 2D matrix MRI scan Person identification Human identification Time optimization Space optimization Hossain, Khondker Fariha Emi, Israt Fariha Liza, Moumita X-Ray (2D) and CT-scanned (3D) image matching for person identification |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Ali, Md. Haider |
| author_facet |
Ali, Md. Haider Hossain, Khondker Fariha Emi, Israt Fariha Liza, Moumita |
| format |
Thesis |
| author |
Hossain, Khondker Fariha Emi, Israt Fariha Liza, Moumita |
| author_sort |
Hossain, Khondker Fariha |
| title |
X-Ray (2D) and CT-scanned (3D) image matching for person identification |
| title_short |
X-Ray (2D) and CT-scanned (3D) image matching for person identification |
| title_full |
X-Ray (2D) and CT-scanned (3D) image matching for person identification |
| title_fullStr |
X-Ray (2D) and CT-scanned (3D) image matching for person identification |
| title_full_unstemmed |
X-Ray (2D) and CT-scanned (3D) image matching for person identification |
| title_sort |
x-ray (2d) and ct-scanned (3d) image matching for person identification |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/9020 |
| work_keys_str_mv |
AT hossainkhondkerfariha xray2dandctscanned3dimagematchingforpersonidentification AT emiisratfariha xray2dandctscanned3dimagematchingforpersonidentification AT lizamoumita xray2dandctscanned3dimagematchingforpersonidentification |
| _version_ |
1814308446632148992 |