Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing
Cataloged from PDF version of thesis report.
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| פורמט: | Thesis |
| שפה: | English |
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BRAC University
2017
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| גישה מקוונת: | http://hdl.handle.net/10361/8708 |
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10361-8708 |
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10361-87082022-01-26T10:13:16Z Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing Tashfeen, Siddiq Husain Abrar, Asir Tondra, Tasmia Taslim Uddin, Dr. Jia Department of Computer Science and Engineering, BRAC University Laparoscopy Laparoscopic appendectomy Edge detection Image processing Frame separation Cataloged from PDF version of thesis report. Includes bibliographical references (page 31-32). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. In the world of surgical instruments laparoscopy has a vital space. Laparoscopic surgery is also called minimally invasive surgery technique where operations are performed through small incision elsewhere in the body. Laparoscopic appendectomy is one kind of surgery in which doctors perform the operation manually through small incision by looking at the monitor. In this study a new approach has been proposed, so that the machine can automatically detect the appendix, by using edge detection and morphological image processing techniques. In order to implement the proposed model a laparoscopic appendectomy video footage has been taken under consideration and every frame of the footage has been separated. After the frame separation process the proposed algorithm has been applied in every frame. It has been observed that the proposed algorithm is robust enough to detect the ROI from frames that contains noise. B. Computer Science and Engineering 2017-12-26T07:12:40Z 2017-12-26T07:12:40Z 2017 8/21/2017 Thesis ID 12201037 ID 13101288 ID 12201109 http://hdl.handle.net/10361/8708 en BRAC University thesis 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. 33 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Laparoscopy Laparoscopic appendectomy Edge detection Image processing Frame separation |
| spellingShingle |
Laparoscopy Laparoscopic appendectomy Edge detection Image processing Frame separation Tashfeen, Siddiq Husain Abrar, Asir Tondra, Tasmia Taslim Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Uddin, Dr. Jia |
| author_facet |
Uddin, Dr. Jia Tashfeen, Siddiq Husain Abrar, Asir Tondra, Tasmia Taslim |
| format |
Thesis |
| author |
Tashfeen, Siddiq Husain Abrar, Asir Tondra, Tasmia Taslim |
| author_sort |
Tashfeen, Siddiq Husain |
| title |
Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing |
| title_short |
Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing |
| title_full |
Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing |
| title_fullStr |
Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing |
| title_full_unstemmed |
Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing |
| title_sort |
inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/8708 |
| work_keys_str_mv |
AT tashfeensiddiqhusain inflamedappendixdetectionfromlaparoscopicvideofootageusingedgedetectionandmorphologicalimageprocessing AT abrarasir inflamedappendixdetectionfromlaparoscopicvideofootageusingedgedetectionandmorphologicalimageprocessing AT tondratasmiataslim inflamedappendixdetectionfromlaparoscopicvideofootageusingedgedetectionandmorphologicalimageprocessing |
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1814308118521184256 |