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首页> 外文期刊>International Journal of Applied Engineering Research >Comparison of Blood Vessel Detection using Various Image Processing Techniques
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Comparison of Blood Vessel Detection using Various Image Processing Techniques

机译:使用各种图像处理技术的血管检测比较

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摘要

The reason why every single human need to take care of their vital organs because it has biggest effect for body health. Blood vessel is the most important of vital organs that plays role as a channel to transfer blood from the heart to the others organs in human body. Blood vessel injury can be detected with extraction blood vessel from image. This paper proposed algorithm for injury detection of blood vessel with image processing to make it's image as clear as possible. The proposed algorithm is compared with edge detection algorithm such as sobel, prewitt and canny. The best method will be proposed for blood vessel detection in others research.
机译:每一个人类需要照顾其重要器官的原因是因为它对身体健康有最大的影响。 血管是最重要的重要器官,它发挥着名称作为一种渠道,将血液从心脏转移到人体中的其他器官。 可以用来自图像的提取血管检测血管损伤。 本文提出了一种血管损伤算法,其具有图像处理,使其成为图像的图像。 将所提出的算法与边缘检测算法进行比较,例如Sobel,Prowitt和Canny。 将提出最佳方法,用于血管检测其他研究。

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