An automated tool for detecting the affected area for identification of endoscopy

AMIT, CHAUHAN and BOKKA, ASHOK KUMAR and MANOHAR, LAKKOJU and PAVAN, KUMAR MISHRA and RAHUL, SHARMA and UMESH, PATEL (2015) An automated tool for detecting the affected area for identification of endoscopy. In: International Conference on Advances in Computing, Control and Networking - ACCN 2015, 21 - 22 February 2015, Hotel Lebua at State Tower.

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An automated endoscopic tool for detection of various image features from the endoscopic videos to speed up clinician process. The detection of diseased or problematic area involved in endoscopic analysis requires very enough time 7 to 8 hours to manually review the video to locate problematic area. In an attempt to automate the process, we have developed a tool which accepts the features of the problematic areas from the physician and accordingly features are detected on the image obtained from the endoscopic video. The functional modules of our tool include: Capturing image frames from a live video or already available video, Reducing redundancy involved in the images obtained such as inter-frame redundancy (Temporal) and Feature detection in images through color image segmentation and other techniques.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: frame, endoscopy, video analysis, cancer detection
Depositing User: Mr. John Steve
Date Deposited: 09 May 2019 11:06
Last Modified: 09 May 2019 11:06

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