Bias field correction-based active contour model for region of interest extraction in digital image
The region-based Active Contour Model (ACM) is a widely known variational segmentation model for extracting or segmenting a digital image into numerous sections for further analysis. Distinguishing between global and specific segmentation models within this paradigm is possible. The global segmentat...
محفوظ في:
| المؤلفون الرئيسيون: | Rosli, Nurul Ain Suraya, Jumaat, Abdul Kadir, Maasar, Mohd Azdi, Laham, Mohamed Faris, Rahman, Normahirah Nek Abd |
|---|---|
| التنسيق: | مقال |
| منشور في: |
Conscientia beam
2023
|
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Digital medical images segmentation by active contour model based on the signed pressure force function
بواسطة: Azman, N. F., وآخرون
منشور في: (2024) -
An Introduction to Bartlett Correction and Bias Reduction
بواسطة: Cordeiro, Gauss M., وآخرون
منشور في: (2014) -
Boundary extraction of abnormality region in breast mammography image using active contours
بواسطة: Mohd Ghani, Noor Ain Syazwani, وآخرون
منشور في: (2022) -
Contours of change.
منشور في: (1970) -
Segmentation and characterization of masses in breast ultrasound images using active contour
بواسطة: Jumaat, Abdul Kadir, وآخرون
منشور في: (2011)
