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: OMOM (China).
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
Newest Generation: Micro-Ball Endoscopy System six cameras are set in the Micro-Ball
Methodology
Wireless endoscopic image analysis GI tract Lena
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
Algorithm analysis and design The main problem to be solved is formulated in the following equation, in order to complete image registration. Image ¡preprocessing, ¡ Global ¡registration Input judgement,local ¡registration ~ ~ ta , ov T arg opt S ( f ( I ( d , d )) , = T ( p ) arg optD ( T ) { , I I ,..., I } i , j T � ta � � i � � � GI � CA � � = Ι i , j r r 1 2 n Ω ta ~ { } I GR ( I I , I ,..., I , T ( p )) so , ov T ( f ( I ( d ' , d ' )) )) map = 1 2 n r i , j so j GI CA � � � � � � � � � Ω so ~ T I 1 1 , 3 I 3 I 1 I 2 ~ result1 ~ I 3 ~ T T I 2 T , I 1 1 , 3 1 , 2 3 n I 3 I 2 I 4 ~ ~ I n ~ T T I 4 ... I n T , ... 1 , 2 2 , 4 ~ 3 n I 4 T , ~ I n 2 n T ~ ... T 2 , 4 I 1 1 , 3 I 3 result2 I 2 ~ T ... 1 , 2 ~ T , I 4 ~ I n 2 n T ... 2 , 4
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
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.
Image Registration This scheme consists of : 1- preregistration process scale-invariant feature transform (SIFT) 2- fine-tuning process maximization of mutual information (MMI)
Image Registration Correspondence keypoints are extracted and matched together
Image Registration Applying the proposed method on 28 consecutive images
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