2D map construction of images from the Newest Generation of - - PowerPoint PPT Presentation

2d map construction of images from the newest generation
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2D map construction of images from the Newest Generation of - - PowerPoint PPT Presentation

2D map construction of images from the Newest Generation of Endoscopy System Rahman Attar 11/3/2015 Wireless Capsule Endoscopy (WCE) size of a large vitamin A: PillCam SB 3 (Israel); B: MiroCam (South Korea); C: EndoCapsule (USA); D:


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SLIDE 1

2D map construction of images from the Newest Generation of Endoscopy System ¡

Rahman Attar 11/3/2015

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SLIDE 2

Wireless Capsule Endoscopy (WCE)

A: PillCam SB 3 (Israel); B: MiroCam (South Korea); C: EndoCapsule (USA); D: OMOM (China).

size of a large vitamin

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Some characteristics of WCE

  • It includes two small colour camera wirelessly transmit thousands of

images during its journey through Gastrointestinal tract.

  • An average 8-hour WCE experiment consists of approx. 50000 frames !
  • Time required by experienced gastroenterologists to read it can range

from 45 minutes to several hours !

  • The quality of WCE images is low.

Capsule Endoscopy

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SLIDE 4

Newest Generation: Micro-Ball Endoscopy System six cameras are set in the Micro-Ball

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Methodology

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Wireless endoscopic image analysis GI tract Lena

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Image Registration Image Registration is a vital process which determines the most precise match between two images of the same scene. Image Registration methods can be classified into: 1- intensity based methods 2- feature based methods

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Algorithm analysis and design The main problem to be solved is formulated in the following equation, in order to complete image registration.

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SLIDE 9

Proposed 2D representation method Image Preprocessing Colour space, Image enhancement, etc. Image Rectification Based on rotation and using Attitude Sensing Unit Image Registration Based on SIFT and MI

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SLIDE 10

Image Preprocessing

  • A. Attar, Xiang Xie, Chun Zhang, Zhihua Wang, and Shigang Yue,

"Wireless Micro-Ball Endoscopic Image Enhancement Using Histogram Information", 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’14), Chicago, USA, August 2014.

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Image Registration This scheme consists of : 1- preregistration process scale-invariant feature transform (SIFT) 2- fine-tuning process maximization of mutual information (MMI)

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Image Registration Correspondence keypoints are extracted and matched together

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Image Registration Applying the proposed method on 28 consecutive images

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SLIDE 14