SEGMENTATION OF MAJOR VESSEL IN X-RAY ANGIOGRAPHIC IMAGES WITH IMAGE PROCESSING TECHNIQUE

Abstract

Recently, image processing techniques, particularly hypertension, diabetes, and cardiovascular risk in a wide variety of vascular disorders such as disease, target images abnormalities problems, early detection is very important that the time factor to explore and is used in various medical fields for image improvement in the medical treatment. There are many methods to detect vascular from x-ray angiographic images. The proposed method, where image quality and accuracy are the key factors of research, depends on the process of image quality assessment and enhancement, as the enhancement phase where image processing methods are used with frangi filter. The segmentation principles, and improved region of the object of interest is obtained, which is used as the basis for feature extraction. Normality comparison is made based on general features. The coronary angiographic images are obtained in literatüre and discuss how the image manipulation can be done to achieve better results from the angiographic images through various image processing with frangi filter in this research. The proposed method includes cancer and vessel structures with frangi filter, enhancement of the image and finally segmentation of the images.

Keywords

• image processing
• frangi filter
• vessel segmentation
• angiographic images

References

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