A Variational Level Set Model Combined with FCMS for Image Clustering Segmentation
المؤلف
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-24، 24ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-02-23
دولة النشر
مصر
عدد الصفحات
24
التخصصات الرئيسية
الملخص EN
The fuzzy C means clustering algorithm with spatial constraint (FCMS) is effective for image segmentation.
However, it lacks essential smoothing constraints to the cluster boundaries and enough robustness to the noise.
Samson et al.
proposed a variational level set model for image clustering segmentation, which can get the smooth cluster boundaries and closed cluster regions due to the use of level set scheme.
However it is very sensitive to the noise since it is actually a hard C means clustering model.
In this paper, based on Samson’s work, we propose a new variational level set model combined with FCMS for image clustering segmentation.
Compared with FCMS clustering, the proposed model can get smooth cluster boundaries and closed cluster regions due to the use of level set scheme.
In addition, a block-based energy is incorporated into the energy functional, which enables the proposed model to be more robust to the noise than FCMS clustering and Samson’s model.
Some experiments on the synthetic and real images are performed to assess the performance of the proposed model.
Compared with some classical image segmentation models, the proposed model has a better performance for the images contaminated by different noise levels.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tang, Liming. 2014. A Variational Level Set Model Combined with FCMS for Image Clustering Segmentation. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-24.
https://search.emarefa.net/detail/BIM-449343
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tang, Liming. A Variational Level Set Model Combined with FCMS for Image Clustering Segmentation. Mathematical Problems in Engineering No. 2014 (2014), pp.1-24.
https://search.emarefa.net/detail/BIM-449343
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tang, Liming. A Variational Level Set Model Combined with FCMS for Image Clustering Segmentation. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-24.
https://search.emarefa.net/detail/BIM-449343
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-449343
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