Modified texture, intensity and orientation constraint based region growing segmentation of 2D MR brain tumor images
المؤلفون المشاركون
Viji, Angel
Jayaraj, Jayakumari
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 13، العدد 6A(s) (31 ديسمبر/كانون الأول 2016)، ص ص. 723-731، 9ص.
الناشر
تاريخ النشر
2016-12-31
دولة النشر
الأردن
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Image segmentation is a process of dividing an image into different regions such that each region is nearly homogeneous.
Magnetic Resonance (MR) images always contain a significant amount of noise caused by operator performance, equipment and the environment which can lead to serious inaccuracies with segmentation.
Radiologists perform diagnosis manually at early stage.
It is a very challenging and difficult task for radiologists to correctly classify the abnormal regions in the brain tissue, because Magnetic Resonance Images (MRI) images are noisy images.
Because the tumors are inhomogeneous, un-sharp and faint, but show an intensity pattern that is different from the adjacent healthy tissue, a segmentation based on intensity, orientation and texture properties is proposed here.
With this approach the image segmentation problem can be formulated and solved in a principled way based on well-established mathematical theories.
The image clustering using texture also reduces the sensitivity to noise and results in enhanced image segmentation performance.
The ground truth of the tumor boundaries is manually extracted from publicly available sources.
Experimental results show that our method is robust and more accurate than other well known models.
The superiority of the proposed method is examined and demonstrated through a large number of experiments using MR images.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Viji, Angel& Jayaraj, Jayakumari. 2016. Modified texture, intensity and orientation constraint based region growing segmentation of 2D MR brain tumor images. The International Arab Journal of Information Technology،Vol. 13, no. 6A(s), pp.723-731.
https://search.emarefa.net/detail/BIM-792088
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Viji, Angel& Jayaraj, Jayakumari. Modified texture, intensity and orientation constraint based region growing segmentation of 2D MR brain tumor images. The International Arab Journal of Information Technology Vol. 13, no. 6A (Special issue) (Dec. 2016), pp.723-731.
https://search.emarefa.net/detail/BIM-792088
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Viji, Angel& Jayaraj, Jayakumari. Modified texture, intensity and orientation constraint based region growing segmentation of 2D MR brain tumor images. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6A(s), pp.723-731.
https://search.emarefa.net/detail/BIM-792088
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 730-731
رقم السجل
BIM-792088
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر