Benner
حسين هادي النعماني ( أستاذ )
كلية التربية للبنات - الرياضيات ( معاون عميد )
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Edge Detection of Medical Images Using Markov Basis
تحميل
بحث النوع:
علوم التخصص العام:
Husein Hadi Abbass اسم الناشر:
Zainab Radhi Mousa اسماء المساعدين:
Applied Mathematical Sciences الجهة الناشرة:
Applied Mathematical Sciences, Vol. 11, 2017, no. 37, 1825 - 1833 HIKARI Ltd, www.m-hikari.com https://doi.org/10.12988/ams.2017.75160  
10/7/2017 سنة النشر:

الخلاصة

Abstract Edge detection is an important task in any image processing application. An edge is a boundary between two disjoint regions. To recognize any unusual objects or growths automatically in medical images, proper edge detection is a crucial step for efficient medical image . Medical images edge detection is an important work for object recognition of the human organs . Edge is detected according to trad methods, but they are not so good for noise medical image edge detection. In this paper, a proposed filter is used to detect the edge of the medical image has been the application of the proposed filter on the actual pictures or fact to find the edge of a high-resolution and this filter has been created by Markov Basis and Laplace filter. It has been observed that the proposed edge detection method performs better than Sobel, Prewitt, Rroberts and Cannys edge detection algorithms.