An improved iterative segmentation algorithm using canny edge detector for skin lesion border detection
المؤلفون المشاركون
Sathik, Muhammad
Yasamin, Jaseema
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 12، العدد 4 (31 يوليو/تموز 2015)8ص.
الناشر
تاريخ النشر
2015-07-31
دولة النشر
الأردن
عدد الصفحات
8
التخصصات الرئيسية
الموضوعات
الملخص EN
One of the difficult problems recognized in image processing and pattern analysis, in particular in medical imaging applications is Boundary detection.
The detection of skin lesion boundaries accurately allows, skin cancer detection .There is no unified approach to this problem, which has been found to be application dependent.
Early diagnosis of melanoma is a challenge, especially for general practitioners, as melanomas are hard to distinguish from common moles, even for experienced dermatologists.
Melanoma can be cured by simple excision, when diagnosed at an early stage.
Our proposed improved iterative segmentation algorithm, using canny edge detector, which is a simple and effective method to find the border of real skin lesions is presented, that helps in early detection of malignant melanoma and its performance is compared with the segmentation algorithm using canny detector[16], developed by us previously for border detection of real skin lesions.
The experimental results demonstrate the successful border detection of noisy real skin lesions by our proposed improved iterative segmentation algorithm using canny detector.
We conclude that our proposed segmentation algorithm, segments the lesion from the image even in the presence of noise for a variety of lesions, and skin types and its performance is more reliable than the segmentation algorithm[16] that we have developed previously that uses canny detector, for border detection of real skin lesions for noisy skin lesion diagnosis.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yasamin, Jaseema& Sathik, Muhammad. 2015. An improved iterative segmentation algorithm using canny edge detector for skin lesion border detection. The International Arab Journal of Information Technology،Vol. 12, no. 4.
https://search.emarefa.net/detail/BIM-431119
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yasamin, Jaseema& Sathik, Muhammad. An improved iterative segmentation algorithm using canny edge detector for skin lesion border detection. The International Arab Journal of Information Technology Vol. 12, no. 4 (Jul. 2015).
https://search.emarefa.net/detail/BIM-431119
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yasamin, Jaseema& Sathik, Muhammad. An improved iterative segmentation algorithm using canny edge detector for skin lesion border detection. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 4.
https://search.emarefa.net/detail/BIM-431119
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-431119
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