Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing
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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.