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Computer Image Process in Medical Area Name : Zhangyu(115033940117) Major : Computer Technology.

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Presentation on theme: "Computer Image Process in Medical Area Name : Zhangyu(115033940117) Major : Computer Technology."— Presentation transcript:

1 Computer Image Process in Medical Area Name : Zhangyu(115033940117) Major : Computer Technology

2 Main Research The process of eye fundus image Color fundus images has been widely used in systemic diseases such as Diabetic Retinopathy( 糖尿病性视网膜病变 )and related eye diseases such as glaucoma( 青光眼 ), high blood pressure, auxiliary diagnosis or screening in.

3 Optic disk detection macular lutea ( 黄斑病变 ) detection Blood vessel detection

4 Some special character of eye fundus image Obvious features of optic disk in fundus image: (1)Approximate circle and it’s usually yellow or bright white spot; (2) blood vessel extend from optic disk center; (3) the extension has similarity in the direction of blood vessels.

5 Optic disk Detect by the brightness information Module matching algorithm The combine of the two method Through the position of blood vessels

6 A color image could be demonstrated by a three dimensional array, then there is the equivalent of three matrix, said the three matrix image of R channel, G, B channel. Separation of the three image channel can highlight some image characteristics. Example:

7 Channel R : It highlights the brightness information of the image.

8 To cope with the two-dimensional image, we need two images: the original image and template image, which is used as matching template. The ultimate goal of template matching is to detect the template image's matching area. The diagram below: Module Mathching algorithm

9 The key problem of this algorithm is how to get that template. Randomly select 25 standard fundus images, of which 12 left eye image, 13 of the right eye image. Centered on optic disk center and cut out the size of 110 * 110 DVD region, and then add these 25 plates to get the average figure, the subgraph as template.

10 The combination The basic idea is to narrow the search area of module matching algorithm. We can be obtained the rough coordinates of center by brightness detection algorithm, then we use matching algorithm in the area around the coordinates. This can greatly reduce the running time, can almost get the answer soon. In addition, you can search across two or three or more pixels to search, other than search one by one, this also can reduce the running time.

11 Through the position of blood vessels (1)Approximate circle and it’s usually yellow or bright white spot; (2) blood vessel extend from optic disk center; (3) the extension has similarity in the direction of blood vessels. We could utilize the blood vessels

12 Thank you.


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